S`.R b  b0 @@@ @@@@ <c8[#V b3 b@ EN DB Q bP$*=HR 8 Carpenter1980]h Dywan1989!oGoldfarb1990crIntons-Peterson1998:o Kolojejchick19911 Mickish1990? Pearson1993% Rosenbloom1987@ Steier1987stdf,UUU YU` dYYUUy9@`eFolder\Add ^1Add Selected Drive Alias ,pAdd ^1Add Selected FiletAdd ^1Add Selected Folderpritt ionsd222233D4($UUUUdX /((((((/ ! $p\ Steier1988 Steier19919 Steier19929 Steier1992  Steier19939 Steier19949 Steinkraus1998_G Stellar1993Stephens1982Stephens1989f Stern2001 Sternberg19693 Stevens19906 Stevenson19965 Stevenson1996, in press Stewart1995 Stine2001 Stine2002Stine submitted@Stine submittedi Stobie1992  Stone1966C Stone1997 Stork1995 Storrosten1992: Strauss1996 Stroffolino1997v Strunk1979l Stuart1994 Stytz1998 Su19979y Suchman1983 Sukaviriya1993 Sukaviriya1994T Sumner1997 Sun1998 Sun1998w Sundstrm1993 Sussman1977' Sussman1984O Swaab1993 Swanson1981{Swanston1991Swartout1991 Swarts Swedlow1990z Swets1973{ Swets1986| Swets1986bV Swettenham1996xD Sykes1977-'SyntheticEnvironmentsManagementBoard1998 Szekely1992 Szekely1993 Taatgen1997- Taatgen1999  Taatgen2000{ Taatgen2001 Tabachneck1995Tabachneck-Schijf1997 Tabor1996 Tambe1992 Tambe1992 Tambe1994 Tambe1995 Tambe1996  Tambe1997M Tang1987BuoTaskForceoftheEuropeanSocietyofCardiologyandtheNorthAmericanSocietyofPacingandElectrophysiology1997l Tate19949Q Taylor19949 Tenney2001 ITerpstra19929ZTerpstra19922z Tesler1983$ Tessler1990a Thagard19867 Tharp1989 thePDPresearchgroup1986 Theologus1972 Thibadeau1982 Thibadeau1984 Thies1997 Thomas1974 Thomas19866 Thomas19959 Thomson1973 Thorpe1992 Timpone1996& Tirre20006 Toates1995~ Todd1987 Tomaka1993 Tomaka1994 Tomaka1997 Tomaka19991 Tomaka20000 Tonge1991 Toulmin1972  Touretzky1986 Toussaint1990j Trebek1989$Tregobov1996 Treur1999 Trewin1997, Trick1977 Truitt1971V} Tufte1990s Tukey1977 Tulving1973 Tulving1976 Turau1998 Turing1956( Turner199331 Turner1994d Tverksy1981 Tverksy1986 Tversky1977 Tweney19979 Tzu1963? Uchino19944 Ullman1989 Underwood1969H Underwood1978O Underwood1994l Underwood1994| Underwood1994| Underwood1994S;5UnitedStatesDepartmentofHealthandHumanServices1988 Unruh1986 Unruh1986 Unruh1987 US Army1984 US Army1984O Van de Nes1993C van der Molen1997 van Gelder1991I Van Heijst1992Z van Heijst19922 Van Hoe1988van Lent19989kvan Lent1998rvan Lent1999van Lent1999IH Van London1998H Van Marcke1992,van Rooy20020van Rooy2002Van Rooy2002vanRooy submittedVanRooy submittedt Vander Zanden1990 Vander Zanden1990s Vander Zanden1991Vandierendonck1988 VanLehn1983 VanLehn1984 VanLehn1987 VanLehn1987 VanLehn1987 VanLehn1987 VanLehn1988 VanLehn1988 VanLehn1988 VanLehn1989& VanLehn1989 VanLehn1991 VanLehn1991 VanLehn1991 VanLehn1993 vanSomeren1994' Vecchi1983 Vera1991 Vera1992Y Vera1993 Vera1993% Vera1994." Vera2002$ Vera2003 Verbrugge1999 Verhage1989Z Vestli19929 Vicente1998P Voigt1985I Voigt1988:vom Hofe1997{ Wade1991 Wagner1971 0 Wagner1974D Waldrop1988 Waldrop1988 Walker1993 Wallace2001 Wallach19981 Waltz1987 Wang1998 Wang20010 Warburton1995 Ward1991t Wasserman1985Watanabe19900Watanabe19944Waterman1971Waterman1973Waterman1973xWaterman19838 Waters1984NWaterson1993 Watkins1976 Watson1980P* Watts1984 Weare1995 Weber1996W Webster1988R Weibe1987H Weigant1998 Weiland1992# Weinreb1984 Weinstein2001Y Weinstein in revisionWeisberg1986 Weitzmann1984= Welch1995 Weld19959k Wellman1974= Wellman1977dWenzlaff1982 West19888 Westerman1996n Whalen1999 Wharton1992 Wherry1976v White1979 White1985 White1986 White1986! White1989G White1990WhiteIn press 1987_ Whitefield19833 Whittington1989 Whittington1990  Wickelgren1975 Wickens1982 Wickens1992Wickens1998`g Wickens2000 Wielemaker19900Wielinga1989LWielinga1990IWielinga19929ZWielinga1992tWielinga1992uWielinga19929Wielinga20000 Wiens1999 Wiens2000 Wiesmeyer1991 Wiesmeyer19925 Wilkins1980m Wilks1988Williams1984Williams1985 Williams19866Williams1987Williams19908Williams1997Williams1998Williams1998 Williamson19966 Willis19933Q Winder19944Winikoff1967l Winkelman1974 Wishaw1985 Wittig1992 Wolfe1998 Wolley198297 Wood1975 Wood1976 Wood1978 Wood1978p Wood19818V Wood1986V Wood1986 Wood1988W Wood19889o Wood1992o Wood1992 Wood1993f Wood1993zf Wood1993z Wood1993R Wood1994i Wood1994f Wood19944 Wood19959 Wood19959 Wood19979Q Wood1998 Wood20000 Wood20020 Wood20020XWoodIn pressXWoodIn pressWood submittedWood submitted Woods1983 Woods1987b Woods1990 Woods1998w Woods1999 Woods2001 Wooldridge1995 Wooldridge1996@X Wooldridge1999tE Woolf1987c Woolf1992e Worling1985 Wray20014 Wright1995 Wright1996L2 Wulf1981Wyatt-Millington1996m Yaniv1987n Yarmey1973p Yatko2001Yatko submitted@  Ye1995 Yeatts19962 Yen2000 Yerkes1908 Yost19877 Yost1989 Yost19919 Yost1991 Yost1992 Yost1993 Young1973 Young1974 Young1976 Young1979 Young1981 Young1984 Young1987 Young1987 Young1988 Young1989 Young1989 Young1990 Young1991 Young1991 Young1994 Young1994% Young1996 Young1996 Young1996 Young1996 Young1996 Young1996 Young1997 Young1997 Young1997 Young1998 Young1998 Young1999 Young1999V Young1999 Young1999 Young1999. Young1999 Young1999l Young2000$ Young2001a Young2001pYoungin pressJ Yourdon1979 Zachary1992 Zachary2000 Zaff19949 Zanna1987LZelinksy1996+Zelinsky1997 Zenyah19959 Zettlemoyer1999 Zettlemoyer2000 Zhang1985 Zhang1998J Zingg1996H Zwinderman19981991 Young1994 Young1994 Young1995% Young1996Young1996, in press Zaff19949 Zanna1987 Zhang1985851987D2;K.WI+F<^7D G-C X,6Y J1"O # MAB(9>UbL)N&E 4P/V'0X2n P!I``.-mh0.HY+nh?.NTN<0.mp?.N~T?.NtT$_N^NuNV=| npR@n mX P?(fNT mv2nt4lN md=h0. mdh mvp0-@ -dv2nd . md. md0 md1n /. mdHhN"P0. mvP mvRhNLN^NuNV mX P?(fN:T=@0-|nNzp0./ mX P?(fN\NV mX P?(fNbTN^NuNVN2=@Jn7C""/7MB&;G L /'0;GDC "2D4;WF^^7DD ---J"""" #######MMMN)&&&/'0+G6 ANP/^2;;KFF<<<^DG-,,,,F,6Y 11"" MM BBLLLNEEE)EE&E& 444444//V0<C/  4''0'02^XX JJJ""" MMMMBLLE 44/''VV/+++++<W-D.^2EO<<7<<D;;<777 JA(((((((((((((((((((999999999(>992..FGO A 4PP//12;;;....I.IIFF<<^777777D--C----,,,66Y Y11 OO M AABBBB)))))&& EEE P/VDDVVV'''TL<L;n:t^&j4M-nHowes, A. Young, R. Mf 1996d]Learning consistent, interactive, and meaningful task-action mappings: A computational model.^Cognitive Science203301-356Howes, A. Young, R. M. 1997XRThe role of cognitive architecture in modeling the user: Soar's learning mechanism Human-Computer Interaction12311-343 Hucka, M.  1994& The Soar Development Environment  Ann Arbor, MI Artificial Intelligence Laboratory, U. of Michigan. Also available through http://www.cs.cmu.edu/afs/cs/project/soar/www/soar-archive-software.html.|vAvailable via anonymous ftp at host centro.soar.cs.cmu.edu as /afs/cs.cmu.edu/project/soar/public/Soar6/sde-0.10.tar.Z  Hudlicka, E. Fellous, J-M. 19960)Review of computational models of emotion "Psychometrix. Arlington, MATechnical Report 9612  Hudlicka, E. 1997HAModeling behavior moderators in military human performance models Psychometrix. Lincoln, MATechnical Report 9716"Hudlicka, E. Billingsley, J. 1998LERepresenting behavior moderators in military human performance modelsb\Proceedings of the 7th Conference on Computer Generated Forces and Behavioral Representation  Orlando, FLw F?Division of Continuing Education, University of Central Florida8Hudlicka, E. McNeese, M. D. `in pressfJUser affective and belief states: Assessment and user interface adaptation `R5Journal of User Modeling and User Adapted Interaction  ` Hudson, S. E. 1991LFIncremental Attribute Evaluation: A Flexible Algorithm for Lazy Update<5ACM Transactions on Programming Languages and Systems133 July315-341Presents algorithm using eager invalidation and lazy evaluation. One twist: uses "influenced" flags on edges to avoid recalculating during evaluation if calculated value is equal to current one. Pointers to other work on "attributed graphs". Unclear how different this algorithm is from those. Includes proof of correctness. A little wordy. (1/9/92) From: sannella@cs.washington.edu (Michael Sannella)Huff, D. 1973 How to lie with statistics London, England PenguinHuffman, S. B. 1994$Instructable autonomous agents& Computer Science and Engineering  Ann Arbor, MI U. of Michigan 142  Ph.D."Huffman, S. B. Laird, J. E. 1995"Flexibly instructable agentsJournal of AI Research3271-324 "Hughes, J. R. Oliveto, A. H. 199781A systematic survey of caffeine intake in Vermont2,Experimental and Clinical Psychopharmacology5393-398( $Huguenard, B. R. Lerch, F. J. 1992PBI DESIGNER: A design tool for predicting working memory failure in phone-based interaction working memory failure in phone based interaction; ACM transactions on c h i 1996, in press Carnegie-Mellon UniversityJCHuguenard, B. R. Lerch, F. J. Junker, B. W. Patz, R. J. Kass, R. E. 199781Working memory failure in phone-based interaction}4.ACM Transactions on Computer-Human Interaction4 2~ 67-102"Hummel, J. E. Biederman, I. 1992@9Dynamic binding in a neural network for shape recognitionPsychological Review99480-517 Hyman, R.  1953<6Stimulus information as a determinate of reaction time("Journal of Experimental Psychology453188-196 IEEE 1999Aerospace & military>8IEEE Spectrum, Technology 1999: Analysis & Forcast Issue("Intons-Peterson, M. J. Best, D. L. 1998PIIntroduction and brief history of memory distortions and their prevention ("Intons-Peterson, M. J. Best, D. L..'Memory distortions and their prevention  Mahwah, NJ Lawrence Earlbaum Irwin, D .E. 19920)Visual memory within and across fixations  K. Rayner("Eye movements and visual cognition Berlin, Germany Springer-Verlag 146-1658 Irwin, M. 1993NGStress-induced immune suppression: Role of the autonomic nervous system 0*Annals of the New York Academy of Sciences 697203-218 ,%Irwin, D. E. Carlson-Radvansky, L. A. 1996:3Cognitive suppression during saccadic eye movementsPsychological Science72 83-87 Irwin, D. E. 1996<5Integrating information across saccadic eye movements 2+Current Directions in Psychological Science5h3  94-100(!Ivory, Melody Y. Hearst, Marti A. 2001PJThe state of the art in automating usability evaluation of user interfacesACM Computing Surveys334470-516f December 2001 82Automating usability evaluation of user interfacesBLandauer1966YLandwehr1982 XLandwehr1986 Lane19856 Lane19876 Lane1990I Lane1999Lanein presss Langley1983 Langley1984 Langley1987 Langley1987D Langley1988. Langley1995 Langley1996MLangleyIn preparationOLangleyIn pressH Lanser19981;Lapointe1994 Larkin1980,  Larkin1980 Larkin1981$ Larkin1981  Larkin1981 Larkin1986$ Larkin1987 Larkin1987 Larkin1989g Larkin1994.; Larkin19955- Larson1999Laughery1997l Lawson199496 Lawton1977D Lazarus1984 Lazola19999M Lszl19912M Lszl19912 Leach1972 Lebiere1994 Lebiere1997 Lebiere1998 Lebiere1998 Lebiere1998 Lebiere1998 Lebiere1999 Lebiere1999 Lebiere2001 Lecerof1998 Lee1985 Lee1989 Lee1991 Lee1999;Legendre1994 Lehman19900 Lehman1991  Lehman1991  Lehman19944< Lehman1994.~ Lehman1994 Lehman1996MLehtinenIn preparationNLehtinenIn preparation@ Leitten1993 Leitten1999 Leitten2000 Lemke1991Leonardo19959Leonardo1997hYLeonesio1982 XLeonesio1986 Lepage19977 Lerch1992 Lerch1993 Lerch1997 Lesgold1977y Lesgold1989[ Lesgold1992\ Lesgold1992 Lesgold1992 Leveson1993U Levin1996p Levin1997 Levy1991 Lewis Lewis1983 Lewis1987 Lewis1988 Lewis1989 Lewis1989 Lewis1989 Lewis1990 Lewis1990 Lewis1991 Lewis1991 Lewis1991 Lewis1992$ Lewis1993 Lewis1993 Lewis1994 Lewis1996 Lewis1998 Lewis1998 Lewis1999e Lewis1999 Li1992n Lieberman2000JLieblich1974 Lincoln1988u Lindsay1977Lindsley1995 Ling1998P Liu1998`2l Lo19941 Lochun19933 Lochun1994m Lochun19949OLockhart1970 Loftus1975 Logan1988# Logan1997 Logan1998 Logan1998" Logan1998$ Logan1998 Logan1998\ Logan1999 Lohse1991 Lohse1997 Loke1990_ Long1983V Long19898 Long1995sLonsdale1999Lonsdale2000NLonsdalein pressLonsdale submitted Loral19959Loriesin pressr Lovallo19874 Lovallo1997 Lovett1997 Lovett1999. Lovett2000 Lovett20012 Lucas1999 Lucas1999OLucassen1993` Luce1986 Luchins1942 Lueke1987 Luger1981 Luo1992 Luo1993 Lupien1999p Lykken1968 Lynch1995&MacGnome Project1991 MacGregor1985t Mach1905 Mack1983 Mack1996 Mackay1989 MacKenzie1991 MacLean1987 MacWhinney1990V MacWhinney1991 Mahajan1995 Mainzer1994M Major1987] Major1990r Major1991Z Major1992^ Major1992_ Major19930 Major1994` Major1994a Major1994q Major1994 Major1995bMajorIn pressC Malik1997E Manuck19842U March1996t Marchal1990 Marchal1990s Marchal1991 Marks1996 Marr1978d Marr1982Marsella2001Marshall1994mMarshall19947 Massey19858 Massey1988 Masson1984| Masson1986( Masson19921 Mastalgio1991 Matessa1995 Matessa1997 Matessa1998 Matessa1998 Matessa1999" Matessa2002$ Matessa2003 Matthys1990N Mavor1997 Mavor1998 May1987 May1993 May1993n May1998o May2000 Maybery1995 Mayer1981 Mayer1983 Mayer19867 Mazur19895 Mazur1998 McBride2001 McCalla1991 McCarl19911McCarley2001 McClelland1979V McClelland1985t McClelland1986  McClelland1986r McClelland19884( McConnell 1992 Spring McCracken1984McDaniel1981WMcDaniel1997 McDermott1980  McDermott19806McDonald19965McDonald1996, in presspG McEwen1993Xs McFarlane1997 McFarlane1998 McFarlane1999fMcGinnis1991[McGinnis1992eMcGinnis1992hMcGinnis1992iMcGinnis19924<McGinnis1994_ McKoon19888 McLeod1996@ Mcmullan1994 McNaught1996 McNeese1994' McNeese1997 McNeese1998 McNeese2002McNeesein pressMcNeese submittedMcNeese submitted7 McNeill1966P McNulty1965VMcSorley19969U Meck19969 Meehl1967 Meehl1969? Mehta1995 Mendes19991Z Mengshoel1992 Merrill1998 Mertz1995( Mervis1976QMetcalfe1986RMetcalfe1987 Mewhort2000m Meyer1987 Meyer1995 Meyer1997 Meyer1997 Meyer1997 Meyer2001 Meyers1993y Meyrowitz1993Michalak1998 Michon1992 4 Michon1992 t Mickish1990 Masson19921 Mastalgio1991 Matessa1995 May1987 May1993 Mayer1981 Mayer1986 McCalla1991 McCarl19911 McClelland1979V McClelland1985t McClelland1986  McClelland1986r McClelland19884( McConnell 1992 Spring McDermott1980  McDermott19806McDonald19965McDonald1996, in presspfMcGinnis1991[McGinnis1992eMcGinnis1992hMcGinnis1992iMcGinnis19924<McGinnis1994_ McKoon19888 McLeod1996@ Mcmullan1994 McNaught1996 McNeese19947 McNeill1966P McNulty1965 Meehl1969?Z Mengshoel1992 Mertz1995QMetcalfe1986RMetcalfe1987m Meyer1987 Meyer1995 Michon1992 4 Michon1992 t Mickish1990t Mickish1990tV5jdTba(`_^r]~VR0*Mack, R. Marks, L. Collins, D. Instone, K. 19964-The CHI '95 Conference electronic publicationSIGCHI Bulletin282 62-75 & Mackay, W.   1989  dHEVA: An experimental video annotator for symbolic analyses of video data  ,Sigchi Bulletin   21  2  "68-714  1. used for usability testing 2. analyze down to whatever level of events you have marked 3. ties video to computer text, and saves icons of video action 4. synchronizes multiple data streams 5. appears similar to EVTA, which appears in same sigchi issuen  MacKenzie, I. S. 1991F?Fitts' Law as a performance model in human-computer interaction Toronto, Ontario, Canada University of TorontoaDoctoral4MacWhinney, B. Snow, C.   1990  N2The Child Language Data Exchange System: An update  6Journal of Child Language    17  $457-472  81. primary Childes reference  MacWhinney, B. 19914-The CHILDES project: Tools for analyzing talk  Hillsdale, NJ Lawrence Erlbaum "Mahajan, R. Shneiderman, B.j 1995<5A family of user interface consistency checking tools College Park, MD <5Human-Computer Interaction Laboratory, U. of Maryland Tech. Report CAR-TR-770 Major, N.P. Reichgelt, H. 1990("ALTO - An automated laddering tool F?Wielinga, B. Boose, J. Gaines, B. Schreiber, G. van Someren, M.X(Current Trends in Knowledge Acquisition. '   Amsterdam  IOS Press Major, N. P. 1991("CATO - An Automated Card Sort Tool Linster, M. Gaines, B.2,Proceedings of EKAW 91. GMD-Studien Nr. 211 Major, N.P. Reichgelt, H. 19926/COCA - A shell for intelligent tutoring systems .'Frasson, C. Gauthier, G. McCalla, G. I. ITS 92 Berlin Springer-Verlag.'Lecture Notes in Computer Science, 608.V Major, N.P. 19930)Teachers and intelligent tutoring systems*$Seventh International PEG Conference (!Heriot-Watt University, Edinburgh Major, N.P. 19940)Evaluating COCA - What Do Teachers Think?hLProceedings of the World Conference on Educational Multimedia and Hypermedia   Vancouver &AACE Press, Charlottesville, VAn Major, N.P. O'Hara, H. 1994f`Using generalised directive models to express teaching strategy knowledge: A description of COCA |uESRC Centre for Research in Development, Instruction and Training, Department of Psychology, University of NottinghamTechnical Report9Major, N. P. O'Hara, K.In pressXQGrounding DTMs: An Interview Tool for Acquiring Meta-Strategic Teaching KnowledgeAISB-95  Sheffield, UK@ VPSociety for the Study of Artificial Intelligence and the Simulation of Behaviour Marr, D. Nishihara, H. K.  1978\VRepresentation and recognition of the spatial organization of three-dimensional shapes4-Proceedings of the Royal Society of London, B  200269-294Marr, D. 1982 Vision  San Francisco W. H. Freeman PressMasson, M. E. J. 1984\V Memory for the surface structure of sentences: Remembering with and without awareness JVLVB23579-592|usubjects have a long perceptual memory for sentences, which can be measured by rereading speeds and recognition tests@Masson, M. E. J. 1986\UIdentification of typographically transformed words: Instance-based skill acquisitionDJEP:LMC124479-488("subjects read words in different capitalizations and mirror images, and tested on recognition and re-reading speed 1) transfer dependent on letters and their case when read, 2) transfer also dep. on adjacent letters and word shape 3) example of intrinsic context dep. procedural learning*$May, J. Barnard, P. J. Blandford, A. 1993^WUsing structural descriptions of interfaces to automate the modelling of user cognition2+User Modelling and Adaptive User Interfaces3 27-64 Mayer, R. E. 1983*$Thinking, problem solving, cognition New York  W. H. FreemanMazur, A. Booth, A.  1998(!Testosterone and dominance in menq$Behavioral and Brain Sciencesq21353-397.McClelland, J. L.    1979  x\On the time relations of mental processes: An examination of systems of processes in cascade  .Psychology Reviewn  86  4  $287-330^  >"McClelland, J. L. Rumelhart, D. E.   1985  jMDistributed memory and the representation of general and specific informationP  H+Journal of Experimental Psychology: General   114  2  $159-188  [XV WVUYZ(3h N^NuNV n C Jg8Nelson, T. O. Leonesio, R. J. Landwehr, R. F. Narens, L. 1986A comparison of three predictors of an individual's memory performance: The individual's feeling of knowing versus the normative feeling of knowing versus base-rate item difficultyJCJournal of Experimental Psychology: Learning, Memory, and Cognitionr122279-287e*$Nelson, Leonesio, Landwehr, & Narensrk0) used trivia questions 1) Perceptual identification had a low correlation with fok, ~0.16 2) further evidence that relearning correlates with FOK 3) individual's fok predictions were better predictors of knowing than normative feeling of knowing measurements, but not as good as base-rate item difficulty 4) subjects' relative fok was reliable (.83 test retest)Nelson, T. O. Narens, L. 1990@9Metamemory: A theoretical framework and some new findings  Bower, G. 0)The psychology of learning and motivationP New York Academic Press 1-45Nelson & Narens9Xq]  Uvp"| Chong, R.x 1999&Towards a model of fear in Soar &Proceedings of Soar Workshop 19 ZSU. of Michigan Soar Group. ai.eecs.umich.edu/soar/workshop19/talks/proceedings.htmlx 6-9P Chong, R. S. 2001jdLow-level behavioral modeling and the HLA: An EPIC-Soar model of an enroute air-traffic control task`ZProceedings of the 10th Computer Generated Forces and Behavioral Representation Conference  Orlando, FL voDivision of Continuing Education, University of Central Florida. www.sisostds.org/cgf-br/10th/view-papers.htm.` 27-35  Churchill, E. F. Young, R. 1991<5Modelling Representations of Device Knowledge in Soar@:AISB-91 Artificial Intelligence and Simulation of Behavior Springer-Verlag247-255Clancey, W. J. 1983RLThe epistemology of a rule-based expert system - A framework for explanationArtificial IntelligenceP203215-251!Clark, Herbert H. 1973haThe Language-as-Fixed-Effect Fallacy: A critique of language statistics in psychological researchV4.Journal of Verbal Learning and Verbal Behavior12335-359"Clark   "Clarke, D. D. Crossland, J. 1985JDAction Systems: An introduction to the analysis of complex behaviour  London, UK Methuen& Clausewitz   1968  "On War  $Penguin  Cleveland, W. S. 1979D=Robust locally weighted regression and smoothing scatterplots JASA74 368829-836.(Cohen, M. S. Payne, D. G. Pastore, R. E. 1991 Computerized task analysisSIGCHI Bulletin.234 57-58& Cohen, J. D. Servan-Scheiber, D. 1992f_Context, cortex and dopamine: A connectionist approach to behavior and biology in schizophreniaPsychology Review99 45-77 Cohen, P. R. 19954-Empirical methods for artificial intelligence  Cambridge, MA  MIT Press$Collins, A. M. Quillian, M. R. 1969*#Retrieval time from semantic memory4.Journal of Verbal Learning and Verbal Behavior8240-2471. evidence for semantic hierarchy nets based on timing data oft/f statements 2. supersets: canary is a canary at 1000ms, is a bird at 1160ms, is a animal at 1235ms 3. properties: canary can sing 1305ms, can fly at 1390ms, has skin at 1465ms Comley, P. 1996:3The use of the Internet as a data collection method Paper presented at a joint EMAC/ESOMAR symposium on Technology for the New Marketing. Available at http://www.sga.co.uk/esomar.html (visited 6 March 98)NHComputer Science and Telecommunications Board, National Research Council 1997@:Modeling and simulation: Linking entertainment and defense Washington, DC National Academy Press"Congdon, C. B. Laird, J. E. 1995(!The Soar user's manual, version 7  Ann Arbor, MI LFElectrical Engineering and Computer Science Department, U. of MichiganjcConners, C. K. Levin, E. D. Sparrow, E. Hinton, S. C. Erhardt, D. Meck, W. H. Rose, J. E. March, J.` 1996VONicotine and attention in adult Attention Deficit Hyperactivity Disorder (ADHD)"Psychopharmacology Bulletin32 67-73 Cooper, R. Shallice, T. 1995:3Soar and the case for unified theories of cognition Cognition55115-149Cooper, R. Fox, J. 1998B;COGENT: A visual design environment for cognitive modelling:4Behavior Research Methods, Instruments and Computers30553-564$Corbett, A. T. Anderson, J. R. 1990PIThe effect of feedback control on learning to program with the LISP tutorPIProceedings of the 12th Annual Conference of the Cogntive Science Society(  Hillsdale, NJ Lawrence Earlbaum 796-8034-Corbett, A. T. Anderson, J. R. Fincham, J. M. 1991XRMenu selection vs. typing: Effects on learning in an intelligent programming tutorJDProceedings of the International Conference on the Learning Sciences  Evanston, ILHACorbridge, C. Rugg, G. Major, N. P. Shadbolt, N. R. Burton, A. M. 1994@:Laddering: Technique and Tool Use in Knowledge AcquisitionKnowledge Acquisition6315-341 Corker, K. M. Smith, B. R. 1993ztAn architecture and model for cognitive engineering simulation analysis: Application to advanced aviation automationB;Proceedings of the AIAA Computing in Aerospace 9 Conference  San Diego, CA AIAACornwell, J. B. 2001VOUsing genetic algorithms to create and optimize cognitive models of developmentDepartment of Psychology University Park ("The Pennsylvannia State UniversityBS honors thesis"Corsaro, W. A. Heise, D. R. 19904-Event structure models from ethnographic data  Clogg, C.$Sociological methodology: 1990  Cambridge, MAP Basil Blackwell 1-57*#Costermans, J. Lories, G. Ansay, C.in presshbConfidence-level and feeling-of-knowing in question answering: The weight of inferential processesJCJournal of Experimental Psychology : Learning, Memory and Cognition18"Costermans, Lories, & Ansay Cottam, H. Shadbolt, N. R. 1998:4Knowledge acquisition for search and rescue planning6/International Journal of Human-Computer Studies48449-473 NM^<<.M)M+CbGC.W 7; <D.77CC7-00 same operator, so * for + was not misread. 6) 2% total errors out of 7920 (157) Miller, C. S. Laird, J. E. 1991:3A Constraint-Motivated Model of Lexical AcquisitionHAThe thirteenth annual conference of the Cognitive Science Society Lawrence Erlbaum827-831 Miller, G. A. 1995B;Strong medicine (a review of House of Cards by Robyn Dawes)Psychological Science[63B129-132  Miller, C. S. Laird, J. E. 1996JDAccounting for graded performance within a discrete search frameworkCognitive Science20499-537 Millward, R. 1964@:Latency in a Modified Paired-Associate Learning Experiment4.Journal of Verbal Learning and Verbal Behavior3309-316y1. takes 1300 ms to retrieve recently learned L/R button press corresponding to 2 digit number 2. includes other measures^ Milnes, B. G. 1988 The Soar Graphic Interface4.Talk and demo presented at the Soar V Workshop67?ocEnH5J"Bowers, V. A. Snyder, H. K.\ 1990TNConcurrent versus retrospective verbal protocol for comparing window usability4-The Human Factors Society 34th Annual Meeting 1270-1274~1. compared two different sized monitors 2. no differences found between protocol methods 3. on small tasks, needing 1-2 windows no differences found b/t monitor sizes 4. protocol data described as procedurally oriented 5. encoding was into 6 categories, but not task analysis based, but simple theory based, e.g., procedure [description], explanation, reading, design (?) & other.Bradley, J. V. 1981("Overconfidence in ignorant experts*#Bulletin of the Psychonomic Society122 82-84Bradley1)subjects often guessed rather than admitting ignorance and 2) often expressed certainty in the correctness of their answers 3)these tendencies were correlated with the degree of expertise the S believed himself to have in the area Hans-Werner Brauni 1994leWeb traffic characterization: an assessment of the impact of caching documents from NCSA's web server  La Jolla, CA >8Applied Network Research, San Diego Supercomputer CenterSeptember 23, 1994Bray, P. 1995(!Making sure the news gets throughThe Sunday Times (UK)13 26 February ngone could estimate the total cost of running a single subject for an hour to be in the region of $1,000F@Frances Brazier Barbara Dunin-Keplicz Jan Treur Rineke Verbrugge 199982Modelling internal dynamic behaviour of BDI agents A. Cesto P. Y. Schobbes`YProceedings of the Third International Workshop on Formal Methods of Agents, MODELAGE '97| "Lecture notes in AI. Berlin Springer Verlag21 Bree, D.S. 1968<6The understanding process as seen in geometry theorems Carnegie Mellon 1. steps of auto analysis: a. divide into episodes, center on solution steps; b. forming phases w/in an episode; c. detect patterns as sequences w/in an episode. 2. uses a visual, tabular, display of coding. 3. 12 S * 10min/S * 3 problems =~= 3.6 K measures, ~360 min. Bree, D. S. 1969B;A computer program for analyzing protocols of understanding 10/3/19690. task is of reading and understanding text 1. set of ipl-v rules to analyze coded protocols into episodes, phrases, and detecting patterns in these two levels of items. Looked like problem behavior graphs. 2. compared within and across subjects. Bre, D. S. 1975TMThe distribution of problem-solving times: An examination of the stages modeln,%British J. math. statistic. Psychol.28177-200 Briggs, P. 1988ZTWhat we know and what we need to know: the user model versus the users model in HCI*$Behaviour and Information Technology74 431-442(!Brinck, T. Gergle, D. Wood, S. D.g 2002Usability for the Webs $Card, Grudin, Nielsen, Skellya:4The Morgan Kaufmann Series in Interactive Technology  San Franciscoo Morgan Kaufmann Publishers 4818 1-55860-658-06* Brooks, F. P.   1975  T7The mythical man-month: Essays on software engineering  ( Reading, MA  4Addison-Wesley Pub. Co.  "Brooks   Brooks, R. 1992*#Intelligence without representation  Kirsh, D.,&Foundations of artificial intelligence  Cambridge, MA  MIT PressBrown, R. McNeill, D. 1966("The "tip of the tongue" phenomenon4.Journal of Verbal Learning and Verbal Behavior5325-337 Brown & McNeill1) used word definitions 2) TOT is being able to retrieve parts of the word, e.g. some letters (e.g. 1st), # of syllables, & location of primary stress 3) proposed keypunch model of memory where partial retrievals represent common features of all words retrieved for definition ,&Brown, J. S. Burton, R. R. Bell, A. G. 1974zsSophie: a Sophisticated Instructional Environment for Teaching Electronic Troubleshooting (an example of AI in CAI) Bolt Beranek and Newman Final Report 2790 Brown, A. L. Lawton, S. C. 1977F?The feeling of knowing experience in educable retarded childrenDevelopmental Psychology134364-370 Brown & LawtonRK0) run in Peoria 1) used pictures of characters, real and imagined 2) population was educable mentally retarded children, MA=6,8,10 years 3) older (8, 10) children could predict recognition accuracy 4) younger (6) could not 5) massed d' around 0.8 for MA = 10 years 6) notes that data can be noisy, especially. with this population0LMLN"99)GB9L&0000>  12,9'- M>AX420A>Y)WA 0W0VV4.'F2 YIYA0'0,YJ M0A />C00-6II&/A>>>NA;;KW'C9&W6W>););AIC+6"N 7IK LF+<BKOB^BB0 DP )27K;;<-WE '1 A0/ CJ M>W2OA<60PF D2" 2Xl~=4 'v(4@>*x$& Kieras, D.   1992  2Personal communication   May4  $Kiearas  fIshould run more than one subject, would be better, plus notes in notebook    Kieras, D. 1992|vDiagrammatic displays for engineering systems: Effects of human performance in interacting with malfunctioning systems2,International Journal on Man-Machine Studies36861-895,&Kieras, D. E. Wood, S. D. Meyer, D. E. 1995\UPredictive engineering models using the EPIC architecture for a high-performance taskRKProceedings of the CHI 95 Conference on Human Factors in Computing Systems  New York, NY ACM  11-186/Kieras, D. E. Wood, S. D. Abotel, K. Hornof, A. 1995f`GLEAN: A computer-based tool for rapid GOMS model usability evaluation of user interface designsZTProceedings of the ACM Symposium on User Interface Software and Technology (UIST'95)  New York, NY ACM 91-100 Kieras, D. E. Meyer, D. E. 1997xqAn overview of the EPIC architecture for cognition and performance with application to human-computer interaction@ Human-Computer Interaction12391-438d^describes epic and includes a graphic window for task, and applies epic to dual task paradigms,&Kieras, D. E. Wood, S. D. Meyer, D. E. 1997~Predictive engineering models based on the EPIC architecture for a multimodal high-performance human-computer interaction task0*Transactions on Computer-Human Interaction4`3 230-27560notes that too fast is much better than too slow Kieras, D. E. 1998>7A guide to GOMS model usability evaluation using NGOMSL  M. Helander0,&Handbook of human-computer interaction  Amsterdam Elsevier12391-4380d^describes epic and includes a graphic window for task, and applies epic to dual task paradigms,%David Kieras David Meyer James Ballasi 2001f_Towards demystification of direct manipulation: cognitive modeling charts the gulf of executioniZSProceedings of the SIGCHI conference on Human factors in computing systems (CHI'01)  New York, NY  ACM Press128-1356King, R. E. McNeese, M. D. ` 1998pSHuman-computer anxiety and phobia: A consideration of foundations and interventions `nQProceedings of the 4th Annual Symposium on Human Interaction with Complex Systemsz ` 2IEEE Computer Society  `$205-208 ` Kintsch, W.P 1998.'Comprehension: A paradigm for cognition  Cambridge, UK Cambridge University Press2+Kirkpatrick, S. Gelatt, C. D. Vecchi, M. P.T 1983*#Optimization by simulated annealing Science 220 4598671-680. Kirkpatrick2,Kirschenbaum, S. S. Gray, W. D. Young, R. M. 199681Cognitive architectures and HCI (workshop report)SIGCHI Bulletin 282 18-21 Kishi, Nobuko5 1993B Y"K>KM<F666JDOJ>U6N+KY+L7""&B 22'B.XA62U/UA7 PC2 F11F;6U2LLb+"2E JPPYCB0U;"F/<GB1O';C<^Y-UXUG OOXK"DUDI.PGNG24 FF2<4+E"DV)DGO B>BJC6<P"P"NJ/C F  N<  2WG< Earley19858 Earley1989eC Eckberg1997 Egeth1998\ Eggan1992 Eggan1992Z Eggen1992 Eggleston1989, Ehrenreich1982 Ehret2000* Ehret2002 Eisenberg1994 Eisenstadt1988P Elbert1985o0 Elio1990P Elkind19893 Elkind1990, Elliman1989 Elliman1993 Elliman1995 Elliman1996 Elliman1999 Elliman1999 Elliman1999pEllimanin pressElliman submittedd Elliott1993 Elman1991J Elsom-Cook1990( Embretson1992Emmerson1986Emmerson2000 Engle2002A Epstein1985B Epstein1987U Erhardt1996Ericsson1980Ericsson1984%Ericsson1993Ericsson1995 Ernst1992 Ernst1993 Ernst1997 Ernst19977 etal.19899 Etal1996e Etzioni1989 Etzioni1995< Eysenck1979 Eysenck1993 Fahlman1988 Falasconi1999\ Farrell1984 Faught1980 WFaulring1997JFederici19909P Fehm19855I Fehm19888PFehm-Wolfsdorf19854IFehm-Wolfsdorf19884E Feigenbaum19623 Feigenbaum1984 Feldman1962 Feldman1991M Fellous1996 Feltovich1981 Ferens19969jFerguson1994WFerrency1997: Ferry1997: Fery1997K7Feurzeig19854=Feurzeig19878Feurzeig1988LcFeurzeig1988Fielding1991? Fieldstone1994] Fincham1991, Findlay1982Q Findlay1997 Finlay1990  Finlay1998 Fischer1991 Fischer19910 Fisher1974D Fisher1987$ Fisher1991 9 Fisher19912 Fisher19949 Fisher19949 Fitts1954 Fitts1964= Flavell1977' Fleetwood2002& Fleetwood2003 Fleishman19892 Flon1981 Flower Flower1981 Flowers1997 Flynn1987lFogelman19944 Foley1993 Foley1993 Foley1993 Foley1994 Folkman19849 Foo19??, Forbus? Ford19939  Forgy1981 Forgy1982V Foulds1996l Fowler1994 Fox1989d Fox1992 Fox1998 France1992T Franceschini2001= Francis1982 Frank1993Franklin1997 Frederiksen1985 Frederiksen1986 Frederiksen1986! Frederiksen1989G Frederiksen1990 FrederiksenIn press 1987-FreeSoftwareFoundation1988FreeSoftwareFoundation1998s Freed1998 Freed1998 Freed1998_ Freed1999m Freed2000 Freed2002" Freed2002$ Freed2003>Freedman1966] Freeman1987u Frese1989 Freudenthal2000 Frijda2000 Fu1998e] Fu2000ei Fu20010 Fuld19899 Fum2000$ Gabriel1985s Gaines1987 Garber19999$ Garey1979 Garlick1987 Garlick1987 Garlick1987 Garner1974  Gascon1976p Geddes1989 ' Gelatt19833 Genesereth?? Gentner1981 Georgeson1989 Gergle2002W Gerler1984TJ Gigley1999 Gil19898 Gillen19979Gilligan1978 Gillin1999p Gillis199828 Gilmartin1973Q Gilmore1994k Gilmore1994 Gilmore1996 Gilmore2002t Giuse1990 Glaser19899W Glasgow1995/ Glass1972$ Glass19932 Glavin19862Glenberg1978AGlenberg1985BGlenberg1987@Glenberg 1991 July Glover1998 Gluck2001 Gluck2001C Gobet1993B Gobet1994 Gobet1996; Gobet1996G Gobet1996H Gobet1996 Gobet1997 Gobet1997T Gobet1997~ Gobet19981 Gobet1999I Gobet1999 Gobet1999 Gobet2000 Gobet2000F Gobet2000Gobetin press}Gobetin presspGobetin press Godden1975  Godden1980 H Goekoop1998Goldberg1989IGoldfarb1990 Ehret2000 Eisenberg1994 Eisenstadt1988P Elbert1985o0 Elio1990P Elkind19893 Elkind1990, Elliman1989 Elliman1993 Elliman1995 Elliman1996 Elliman1999  Elliman1999 Elliman1999pEllimanin pressElliman submittedd Elliott1993 Elman1991J Elsom-Cook1990( Embretson1992Emmerson1986 Engle2002A Epstein1985B Epstein1987U Erhardt1996Ericsson1980Ericsson1984%Ericsson1993Ericsson1995  Ernst1992 Ernst1993 Ernst1997 Ernst19977 etal.19899 Etal1996e  Etzioni1989 Etzioni1995< Eysenck1979 Eysenck1993 Fahlman1988 Falasconi1999\ Farrell1984 Faught1980 WFaulring1997JFederici19909P Fehm19855I Fehm19888PFehm-Wolfsdorf19854IFehm-Wolfsdorf19884E Feigenbaum19623 Feigenbaum1984 Feldman1962 Feldman1991M Fellous1996 Feltovich1981 Ferens19969jFerguson1994WFerrency1997: Ferry1997: Fery1997K7Feurzeig19854=Feurzeig19878Feurzeig1988LcFeurzeig1988Fielding1991? Fieldstone1994] Fincham1991Q Findlay1997 Finlay1990  Finlay1998 Fischer1991 Fischer19910 Fisher1974D Fisher1987$ Fisher1991 9 Fisher19912 Fisher19949 Fisher19949s Fitts1954 Fitts1964= Flavell1977 Fleishman19892 Flon1981 Flower Flower1981 Flowers1997 Flynn1987lFogelman19944 Foley1993 Foley1993 Foley1993 Foley1994 Folkman19849 Foo19??, Forbus? Ford19939  Forgy1981 Forgy1982V Foulds1996l Fowler1994 Fox1989d Fox1992 Fox1998 France1992T Franceschini2001= Francis1982 Frank1993Franklin1997 Frederiksen1985 Frederiksen1986 Frederiksen1986! Frederiksen1989G Frederiksen1990 FrederiksenIn press 1987-FreeSoftwareFoundation1988FreeSoftwareFoundation1998s Freed1998 Freed1998 Freed1998_ Freed1999m Freed2000>Freedman1966] Freeman1987u Frese1989 Freudenthal2000 Frijda2000 Fu1998e] Fu2000ei Fu20010 Fuld19899 Fum2000$ Gabriel1985s Gaines1987 Garber19999$ Garey1979 Garlick1987 Garlick1987 Garlick1987 Garner1974  Gascon1976p Geddes1989 ' Gelatt19833 Genesereth?? Gentner1981 Georgeson1989W Gerler1984TJ Gigley1999  Gil19898 Gillen19979Gilligan1978 Gillin1999p Gillis199828 Gilmartin1973Q Gilmore1994k Gilmore1994  Gilmore1996t Giuse1990 Glaser19899W Glasgow1995/ Glass1972$ Glass19932 Glavin19862Glenberg1978AGlenberg1985BGlenberg1987@Glenberg 1991 July Glover1998 Gluck2001 Gluck2001C Gobet1993B Gobet1994 Gobet1996; Gobet1996G Gobet1996H Gobet1996 Gobet1997 Gobet1997T Gobet1997~ Gobet19981 Gobet1999I Gobet1999 Gobet1999 Gobet2000 Gobet2000F Gobet2000Gobetin press}Gobetin presspGobetin press Godden1975  Godden1980 H Goekoop1998Goldberg1989IGoldfarb1990TKb0W`SusP t*cMurray, T. Woolf, B. 19924-Tools for Teacher Participation in ITS Design .'Frasson, C., Gauthier, G. McCalla, G.I. ITS 92 Berlin Springer-Verlag,&Lecture Notes in Computer Science, 608tnMyers, B. A. Giuse, D. A. Dannenberg, R. B. Vander Zanden, V. Kosbie, D. S. Pervin, E. Mickish, A. Marchal, P. 1990VOGarnet: Comprehensive support for graphical, highly-interactive user interfaces IEEE Computer2311 71-85  Myers et al Myers et al |Myers, B. A. Guise, D. Dannenberg, R. B. Vander Zanden, B. Kosbie, D. Marchal, P. Pervin, E. Mickish, A. Kolojejchick, J. A. 1990*$The Garnet Toolkit Reference Manuals <6School of Computer Science, Carnegie Mellon UniversityCMU-CS-90-117-R Myers, B. A. Guise, D. Dannenberg, R. B. Vander Zanden, B. Kosbie, D., Marchal, P. Pervin, E., Mickish, A. Kolojejchick, J. A. 1991D=The Garnet toolkit reference manuals, revised for Version 1.4 <6School of Computer Science, Carnegie-Mellon UniversityTechnical ReportCMU-CS-90-117-R Myers et al Myers, B. A. 1991ZSSeparating application code from toolkits: Eliminating the spaghetti of call-backsF@ACM Symposium on User Interface Software and Technology: UIST'91  New York, NY ACM211-2202+Hilton Head, SC, Nov. 11-13, gilt reference6Myers, B. A. Rossen, M. B.  & 1992 May  @$Survey on user interface programming  PIProceedings of the CHI92 Conference on Human Factors in Computer Systems8 0ACM Press New York  $195-2020  *Myers & Rossen  x[Also available as Carnegie-Mellon School of Computer Science technical report CMU-CS-92-113   Myers, B. A. 1993tmThe Garnet Gilt interface builder: Graphical styles and tabs and techniques for reducing call-back proceduresHBApplication Builder Session, Seventh Annual X Technical Conference  Boston, MA .'Myers, B. A. Mickish, A. Hashimoto, O.@ 1993tmThe Garnet Gilt Interface Builder: Graphical styles and tabs and techniques for reducing call-back proceduresh  Boston, MA NHApplication Builder Video Session, Seventh Annual X Technical Conference 10 minutes Myers, B. A. 1995$User interface software tools4.ACM Transactions on Computer-Human Interaction21 64-103vpMyers, B. A. McDaniel, R. Miller, R. Ferrency, A. Doane, P. Faulring, A. Borison, E. Mickish, A. Klimovitski, A. 1997ZTThe Amulet environment: New models for effective user interface software development0)IEEE Transactions on Software Engineering236 347-36560http://www.cs.cmu.edu/~amulet/papers/amuletca.ps  Nagel, L. W. 1975D=SPICE2: A Computer Program to Simulate Semiconductor Circuits ("University of California, BerkeleyMay 1975 TechnicalERL Memo No. ERL-M520& Neches, R.   1982  B&A process model for water jug problems  H+Behavior research methods & instrumentation.  14  2  " 77-91  & Neches, R. Langley, P. Klahr, D. 19874-Learning, development, and production systems. & Klahr, D. Langley, P. Neches, R.:4Production system models of learning and development  Cambridge, MA  MIT Press 1-53 Neisser, U. 1976Cognition and reality  San Francisco  W. H. Freeman Nelson, T. O. Narens, L. 1980>8A new technique for investigating the feeling of knowingActa Psychologica46 69-80Nelson & Narens1) suggests relative rankings instead of absolute fok ratings 2)[but takes trial^2 comparisons] 3) shorthand version just has S sort whole list 4) [clumsily slow, and requires laying everything out on the table] V6 Peck1992 Peck1992c Pelletier1995C Pelton1994$Perfetti1977 Perlman1988S Perlmutter1984  Perry1998- Perry1999t Pervin1990e Pervin19900s Pervin19911Peterson1989Peterson1998Peterson2001Petroski1982d Petty1982N Pew1997 Pew1998 Pew2001 Pew2001 Piaget1954L Picard1997^ Picard1999 Picton1996t Pincomb1987 Pine19977 Pine20000" Pinker1985 | Pirenne1967 Pitkow1995` Pitkow1996 Pitkow1996P Pitman19854 Pitman1988A Pitrat1977 Platt1964> Ploetzner1995DPltzner1994 Polk19879 Polk1989 Polk19898 Polk1992 Polk1995 Pollack1988} Pollatsek1992r Polson1985$ Polson1990$ Polson1992 Polson1994 Polson19969 Polson19989Poltrock1989T Pomerleau1991T Pomerleau1991 Pople1987 Popper1959, Porcu1982C Porges19979 Portelli1990 Potter20000 Potvin1990 Poulson19768 Powell19979 Praetorius1988 Preece1994 Press1995 Priest1988Prietula19818Prietula1993Prietula19939Prietula1994 Psotka1988O Purba1993Pylyshyn1984Pylyshyn1989Pylyshyn1999 Qin1990< Quigley1991= Quigley1993A Quigley1993> Quigley1994? Quigley1994f Quigley2001 Quigley2001 Quigley2002YQuigley in revisionoQuigley submittedQuigley submittedQuillian1969 Quinlan1983R Quinlan1998O Raadsheer1993 Rabbit1989 Rajagopalan1984A Ram1995Z Ramparany1992 Ramsay1995 Ramsay1995  Ransburger1978 Rao1981\ Rao1992L Rao1996X Rao1999% Raphael1968 Raskin2000 Rasmussen1974c Rasmussen1983Rassouli1995_Ratcliff1988 Rauterberg1993f Ray2001' Rayner1989 Rayner1991 } Rayner19929. Rayner1995c Read1982 Reason1990  Reber1991 Reber1996 Reber1996 Recker1995:` Reder1982a Reder1987b Reder1988 Reder1988? Reder1992 Reder1994 Reder1996 Reder1997 Reder1997 Reder1998 Reder1999. Reder2000 Reder2001 Reed19766~ Rees19919 Rees19922  Regian1993] Reichgelt1990Z Reichgelt1992^ Reichgelt1992o Reichgelt1992f Reichgelt1993 Reichgelt1993 Reid1995Q Reimann1989v Reis1981? Remington1991 Remington1998 Remington1998m Remington2000" Remington2002$ Remington2003 Rensink1997Reynolds1984~ Rich1983Richards1997g Richman1989 Richman1995; Richman1996 Richman1997 Riedl2001 Rieman1992 Rieman1994 Rieman1996 Rieman1996: Rieu199717 Ritter1985i@ Ritter1985A Ritter1985B Ritter1985 C Ritter1986\k Ritter1986DRitter1986 November6 Ritter1987 = Ritter19878E Ritter1987$F Ritter1987Pj Ritter19878 Ritter19888G Ritter1988H Ritter1988pc Ritter1988$ Ritter1988I Ritter1989 J Ritter1989xK Ritter19895 Ritter19900L Ritter19908M Ritter1990TN Ritter1990 O Ritter1991 P Ritter1991hQ Ritter1991R Ritter1991 S Ritter1991 T Ritter1991U Ritter1991 f Ritter1991? Ritter1992V Ritter1992W Ritter1992X Ritter1992LY Ritter19924Z Ritter1992P[ Ritter1992,\ Ritter1992p] Ritter1992^ Ritter19924d Ritter1992 e Ritter1992h Ritter1992Pi Ritter1992: Ritter1993$_ Ritter1993` Ritter1993,a Ritter1993 b Ritter1993 Ritter1993 Ritter1994 Ritter1994) Ritter1994. Ritter19940 Ritter1994: Ritter1994< Ritter19944m Ritter1994,1 Ritter1994 Ritter1994$ Ritter1994l Ritter1994g Ritter1994. Ritter1995.d Ritter19955 Ritter1995 Ritter1995, Ritter1995 Ritter1995 Ritter1996 Ritter1996 Ritter1996  Ritter1996  Ritter1996  Ritter1996  Ritter1996 Ritter1996% Ritter1996b Ritter19966 Ritter1996( Ritter1997B Ritter1997G Ritter1997g Ritter1997 Ritter1997, Ritter1997 Ritter19981 Ritter1998 Ritter1998, Ritter1998, Ritter1998 Ritter1998I Ritter1998 Ritter1999 Ritter1999 Ritter1999,1 Ritter1999, Ritter1999_ Ritter1999 Ritter19999 Ritter1999, Ritter1999- Ritter1999. Ritter1999 Ritter19999 Ritter1999 Ritter2000 Ritter2000 Ritter20000 Ritter2000# Ritter2000l Ritter2000 Ritter2000`d Ritter2000& Ritter2000u Ritter20000 Ritter2000 Ritter2000j Ritter2001L Ritter2001q Ritter2001$ Ritter2001  Ritter2001a Ritter2001 Ritter20011 Ritter2001 Ritter2001 Ritter2002 Ritter2002 Ritter2002 Ritter20020 Ritter2002 Ritter20022  Ritter2002 Ritter2002# Ritter20030% Ritter20030MRitterIn preparationoNRitterIn preparationRitterin preparationoORitterIn pressRitterin pressHpRitterin pressRitterin pressRitter submittedRitter submittedRitter submittedRitter submittedRitter submittedM Rivers1987 Robertson1990 Rodrigues2002 Rodrigues submitteddRoediger19874b Roediger III2000#B Rogers1994  Rogers1994 Rogers2000! Root19951( Rosch1976U Rose19969:Rosedale1989;Rosedale1990 Rosenbaum1991 Rosenbloom1981 Rosenbloom1982 Rosenbloom1983H Rosenbloom19862 Rosenbloom1986 Rosenbloom1986x Rosenbloom1986 Rosenbloom1987 Ritter1994 Ritter1994) Ritter1994. Ritter19940 Ritter1994: Ritter1994< Ritter19944m Ritter1994,1 Ritter1994 Ritter1994$ Ritter1994l Ritter1994g Ritter1994. Ritter1994,e Ritter1994m Ritter1995.d Ritter19955 Ritter1995 Ritter1995, Ritter1995 Ritter1995 Ritter1996 Ritter1996 Ritter1996  Ritter1996  Ritter1996  Ritter1996  Ritter1996 Ritter1996% Ritter1996- Ritter1996l8 Ritter1996b Ritter19966( Ritter1997B Ritter1997G Ritter1997g Ritter1997 Ritter1997, Ritter19981MRitterIn preparationoNRitterIn preparationIRitterIn pressRORitterIn presslRittersubmitted Oct. 1997M Rivers1987 Robertson1990Roediger19874B Rogers1994  Rogers1994:Rosedale1989;Rosedale1990 Rosenbloom1981 Rosenbloom1982 Rosenbloom1983H Rosenbloom19862 Rosenbloom1986 Rosenbloom1987=mִ`&0.nJ2tX*<pFt~|:~"  Nelson, G. 1994SimTime User's Guide LFThe Soar Group, School of Computer Science, Carnegie-Mellon University July, 1994jcFTPable from centro.soar.cs.cmu.edu: "/afs/cs/project/soar/public/Soar6/user-library/SimTime.tar.Z"*$Nelson, G. Lehman, J. F. John, B. E. 1994<6Integrating cognitive capabilities in a real-time taskLFProceedings of 16th Annual Conference of the Cognitive Science Society  Hillsdale, NJ Lawrence Erlbaum658-663 Nerb, J. & Krems, J. 1992Kompetenzerwerb beim Loesen von Planungsproblemen: experimentelle Befunde und ein SOAR-Model (Skill acquisition in solving scheduling problems: Experimental results and a Soar model) FORWISS, Muenchen FORWISS-Report FR-1992-001& Nerb, J. Krems, J. Ritter, F. E. 1993RLRule learning and the power law: A computational model and empirical resultsVOProceedings of the Fifteenth Annual Conference of the Cognitive Science SocietyP  Hillsdale, NJ "Lawrence Erlbaum Associates765-770&Nerb, J. Spada, H. Ernst, A. M. 199760A cognitive model of agents in a commons dilemmaPJProceedings of the 19th Annual Conference of the Cognitive Science Society  Mahwah, NJ Lawrence Erlbaum560-565 & Nerb, J. Ritter, F. E. Krems, J. 1999b[Knowledge level learning and the power law: A Soar model of skill acquisition in schedulingKognitionswissenschaft [Journal of the German Cognitive Science Society] Special issue on cognitive modelling and cognitive architectures, D. Wallach & H. A. Simon (eds.)   20-29 ,%Neter, J. Wasserman, W. Kutner, M. H. 1985(!Applied linear statistical models  Homewood, IL Irwin>8Neuwirth, C. M. Kaufer, D. S. Chandhok, R. Morris, J. H. 1990PIIssues in the design of computer support for co-authoring and commenting HAThird Conference on Computer Supported Cooperative Work (CSCW'90) ACM183-195L/1. This is Prep. Good for large chunks of text  8Neves, D. M. Anderson, J. R.   1981  hLKnowledge compilation: Mechanisms for the automatization of cognitive skills  ,Anderson, J. R.  B&Cognitive skills and their acquisition  * Hillsdale, NJ  Lawrence ErlbaumNewell, A. Simon, H. A. 1956HAThe logic theory machine: A complex information processing system60IRE Transactions on Information Theory, IT (2:3)2p3h 61-79*#Newell, A. Shaw, J. C. Simon, H. A. 19584-Elements of a theory of human problem solvingPsychological Review65151-166 *#Newell, A. Shaw, J. C. Simon, H. A. 1958:4Chess-playing programs and the problem of complexity.'IBM Journal of Research and DevelopmentQ2320-335*#Newell, A. Shaw, J. C. Simon, H. A. 1960@:Report on a general problem-solving program for a computer82International conference on information processing Paris UNESCO256-264VPAlso available as Rand P-1584; reprinted in Computers and Automation, July 1959.Newell, A. Simon, H. A. 1961&The simulation of human thought,&Current trends in psychological theory Pittsburgh, PA $University of Pittsburgh Press152-179"Also RAND P-1734 and RM-2506 Newell, A. 196882On the analysis of human problem solving protocols Gardin, J. C. Jaulin, B.:4Calcul et formalisation dans les sciences de l'homme "Paris  2,Centre National de la Recherche Scientifique145-185Excerpt published in Johnson-Laird, P. J., & Wason, P. C. (1977) (Eds.), "On the analysis of human problem solving protocols", (Thinking: Readings in cognitive science), 46-61, Bath (UK): The Pitman Press. Newell, A. 1972F?A theoretical exploration of mechanisms for coding the stimulus Melton, A. W. Martin, E.& Coding processes in human memory Washington, DC  V. H. Winstor373-435|v1. models run more quickly than humans 2. forced the model back on track when necessary. 3. notes production match as another working memory outlines how crypto stuff production system actually worked coded crypto verbal & eye protocol with trace LKE, a stimulus encoding system is presented, and generally compared to subject data includes some general information on PSG.Newell, A. Simon, H. A.x 1972Human problem solving, Englewood Cliffs, NJ  Prentice-HallP Newell, A. 19736/You can't play 20 questions with nature and winR  Chase, W. G.$Visual information processing  New York, NY Academic Press283-308 Newell, A. 1980a0*Perception and production of fluent speech Cole, R.4.Harpy, production systems, and human cognition  Hillsdale, NJ Lawrence Erlbaum145-185jdAlso available as CMU-CS-78-140; 7-Nov-92, cited in anderson83, references variable-less productions Newell, A. 1980bd^Reasoning, problem solving and decision processes: The problem space as a fundamental category  Nickerson, R.$Attention and performance VIII  Hillsdale, NJ LEArlAlso available as as CMU-CS tech report; 7-Nov-92, cited in anderson83, references variable-less productions 2g,i^hhpz7h&Sherwood, B. A. Andersen, D. M. 199382cT creates prize-winning portable physics programsComputers in Physics7P2L136-143Shneiderman, B. 1998XQDesigning the user interface: Strategies for effective human-computer-interaction  Reading, MA "Addison Wesley Longman, Inc.*$Shrager, J. Hogg, T. Huberman, B. A. 1988  HBA dynamical theory of the power-law of learning in problem-solvingScience?X;Draft paper Submitted to AAAI-88, Minneapolis, August 1988"`   Shum, S. B. 1996@9The missing link: Hypermedia usability research & The Web.SIGCHI Bulletin.284 68-75. Shute, V. J. 1992D=Aptitude-treatment interactions and cognitive skill diagnosisn Regian, J. W. Shute, V. J.4-Cognitive Approaches to Automated Instructionn  Hillsdale, NJ. LEA@ 15-47. Siegler, R. S. Shrager, J. 1984TNStrategy choices in addition and subtraction: How do children know what to do?  Sophian, C. "Origins of cognitive skills  Hillsdale, NJ Lawrence Earlbaum229-293Siegler & ShragerjN1) video observation to measure strategies is a good idea 2) high correlation (r=.9@* 1) between errors on problems and use of overt strategies 3) distribution of associations model 4) no initial strategy selection 5) close associations between percentage of errors, mean soln time, and % of overt strategy use 6) more practiced (measured by parents generation) problems better known 7) and duplicate operands are more practiced 8) 3 phase process: retrieval, elaboration of the representation, & counting 9) peakedness of representation determines errors, soln time, and strategy choice"]  Siegler, R. S. 1986Children's thinking Englewood Cliffs, NJ  Prentice-HallSiegler, R. S. 1987XQThe perils of averaging data over strategies: An example from children's addition("Journal of Experimental Psychology 115250-264gSiegler, R. S. 1988LFStrategy choice procedures and the development of multiplication skill2,Journal of Experimental Psychology : General 1173258-275$Siegler0  |u0) run with 3rd graders 1) children's x mistakes are: a) multiple errors (51%) b) near misses (29%) c) related operators (22%) 2) proposes more refinements in associative strength model 3) ties are taught more to students => better learned 4) children's assoc. strength best predictor of adult times and mistakes 5) no deliberative strategy choice 6) many more results "]Siegler, R. S.in pressjcIndividual differences in strategy choices: Good students, not-so-good students, and perfectionistsChild Development 1-38$Siegler  X<1) children can be classified into 3 groups based on math & verbal tasks 2) good are correct more than bad on retrieval and backup strategies 3) good are faster on retrieval than bad 4) perfectionists used retrieval less often, and are most accurate 5) immediate retrospective verbal reports of strategies was useful   SIGArt 1991<5Special section on integrated cognitive architecturesSigart Bulletin24 SigArtBrx0{tb&Y &:Z VanLehn, K. 198982Learning events in the acquisition of three skillsPJProceedings of the 11th Annual Conference of the Cognitive Science Society  Hillsdale, NJ "Lawrence Erlbaum Associates434-441pT1. only 1 skill is new data and analysis, 1 is old, and 1 is not completely analyzed   VanLehn, K. 1989*#Problem solving and cognitive skill.  Posner, M. I.& Foundations of Cognitive Science  Cambridge, MA  MIT Pressn$527-579  pT1. only 1 skill is new data and analysis, 1 is old, and 1 is not completely analyzed   VanLehn, K. 1991LFRule acquisition events in the discovery of problem-solving strategiesCognitive Science151 1-47,&VanLehn, K. Jones, R. M. Chi, M. T. H. 1991*$Modeling the self-explanation effectVPProceedings of the Thirteenth Annual Conference of the Cognitive Science Society  Hillsdale, NJ "Lawrence Erlbaum Associates137-142VanLehn, K. Ball, W. 1991NHGoal reconstruction: How Teton blends situated action and planned action  VanLehn, K.$Architectures for intelligence  Hillsdale, NJ "Lawrence Erlbaum Associates147-188VanLehn, K. Jones, R. M. 1993HALearning by explaining examples to oneself: A computational model "Chipman, S. Meyrowitz, A. L.PJFoundations of knowledge acquisition: Cognitive models of complex learning  Boston, MA Kluwer 25-82P:3vanSomeren, M. W. Barnard, Y. F. Sandberg, J. A. C. 1994RKThe Think Aloud Method: A practical guide to modelling cognitive processes London and San Diego Academic PressISBN 0-12-714270-3Vera, A. H. Simon, H. A. 19930*Situated Action: A symbolic interpretationCognitive Science171 7-48,%Vera, A. H. Lewis, R. L. Lerch, F. J. 1993nhSituated decision-making and recognition-based learning: Applying symbolic theories to interactive tasksVOProceedings of the Fifteenth Annual Conference of the Cognitive Science Society  Hillsdale, NJ LEA 84-95 Vicente, K. 1998Cognitive work analysis  Mahwah, NJ Lawrence ErlbaumWade, N. J. Swanston, M. 1991*$An introduction to visual perception  London, UK  Routledge"Wagner, D. A. Scurrah, M. J. 1971<6Some characteristics of human problem-solving in chessCognitive Psychology 2454-478"1. compared rules with data"Wagner, R. A. Fisher, M. J. 1974.'The string-to-string correction problem82Journal of the Association for Computing Machinery  21168-172 ,Wagner & Fisher  D' 1. maximum common subsequence problem  Waldrop, M. M. 1988*$Toward a unified theory of cognitionScience 241 27-29  JulyWaldrop, M. M. 1988*$Soar: A unified theory of cognition?Science 241 296-298 Walker, N. Catrambone, R. 1993ZTAggregation bias and the use of regression in evaluating models of human performance Human Factors353397-411Can regress across repeated measures Can regress across Subjects if ignore IDs Should not regress across tasks should not regress with composite vars unaggregated R2 will be lower offers a formula for finding unaggregated r2 Found KLM was 78 vs 72% for just number of keystrokes Wallace, C. 2001$Soar API: Designing for speed (!Proceedings of 21st Soar Workshop  Ann Arbor, MI PJSoar Group, Artificial Intelligence Laboratory, The University of MichiganF@16-17, ai.eecs.umich.edu/soar/workshop21/talks/author-index.html( Waltz, D. L.   1987  B&Applications of the Connection Machine  * IEEE Computer  20  & 1 January  "85-97  "Waltz  [vZYX>WVfUThSRQPONM LKJIRitter, Frank E. 1989`ZFOKIBOFIT-Soar: A Soar model of the effect of problem-part frequency on feeling-of-knowing MaytF@Presented as part of the Understand Seminar, PSY 85-811 (May 16)Ritter, Frank E. 1989$Modeling a Feeling of Knowing} {Joint work with Lynne Reder and Allen Newell presented at the Soar VI workshop held at the University of Michigan. pp. 1-22 MayP Ritter, Frank E. 19896/Transparencies from Soar Workshop VI, May, 1989\ VPFrank Ritter, Department of Psychology, Carnegie-Mellon University, Unpublished.`ZFOKIBOFIT-Soar: A Soar model of the effect of problem-part frequency on feeling-of-knowingRitter, Frank E. 1990<5The TAQL structured editor & Soar Graphical InterfaceOctober:4Presented at the Soar VIII Workshop held at USC/ISI.Ritter, Frank E. 1990"Batmail -- Reading mail in an editor", "Notes on software available and used in the CMU Psychology department", and "Some notes on learning more about GNU-Emacs"VOManuals and talks presented at the CMU Psychology department Immigration CourseRitter, Frank E. 1990.(Mendel-DP: Optimizing PDP learning ratesLFEighth Annual Pitt-CMU conference, June and the CMU PDP seminar, June&Paper and talk presented at the Ritter, Frank E. 1991& The Developmental Soar InterfacehVideo (27 min.) Presentation to the CMU Diagrams Research Group, April, 1991. 29 April 91 (Larkin-Simon)   Ritter, Frank E. 1991@9Update on the Developmental Soar Interface: DSI Release 01f_Presented at the Soar IX Workshop held at The Ohio State University, included a live demo (May) Ritter, Frank E. 1991("How the Soar interface uses GarnetVideo (2 min.) shown at the Garnet user interface development environment special interest subgroup meeting at the 1991 Human Factors in Computing Systems Conference (CHI'91).Ritter, Frank E. 1991jcTowards fair comparisons of connectionist algorithms through automatically generated parameter setsnPJProceedings of the 13th Annual Conference of the Cognitive Science Society  Hillsdale, NJ Lawrence Erlbaum877-881Ritter, Frank E. 1991TAQL-mode Manual The Soar groupNHThe Soar Project, School of Computer Science, Carnegie-Mellon UniversityRitter, Frank E. 19914.The new Soar graphical interface: Design notes unpublishedsRitter, Frank E. 1991The simple-menu packageo Formerly available from The Ohio State University elisp archives on archive.cis.ohio-state.edu as file pub/gnu/emacs/elisp-archive/interfaces/simple-menu2.el.Z, revised version kept as simple-menu.el.Z. 0*Ritter, Frank E. Hucka, M. McGinnis, T. F. 1991Soar-mode Manual <6School of Computer Science, Carnegie-Mellon University Technical UnpublishedfThe Soar Project,TRitter, Frank E. 1992"Protocol analysis with SoarlFebruaryyPresented at the Soar X Workshop held at The University of Michigan (as in program, in overheads it was "Soar/PA update")PRitter, Frank E. 1992(!Bruno Levy's Able-Soar, Jr. models JCPresented at the Soar X Workshop held at The University of MichigandFebruaryRitter, Frank E. 1992Multiple forms-moden Available from The Ohio State University elisp archives on archive.cis.ohio-state.edu as file pub/gnu/emacs/elisp-archive/modes/multi-forms-mode.1.4.tar.Z1.4.0 of 92-6-25LEMode to edit file of records, displaying multiple records per bufferRitter, Frank E. 1992D=Theoretically guided semi-automatic routine protocol analysist May60Talk presented at the Chi'92 Doctoral ConsortiumRitter, Frank E. 19922,Routinely testing Soar models with protocolsOctober\PJTalk presented at the Soar XI workshop and slides included in compilation.& Ritter, Frank E. McGinnis, T. F. 1992 DSIOctober,&Demo presented at the Soar XI workshop 35AuthorsSS`Journals\\Keywords`` ;.I*&RT[y) Laird, J. E. Duchi, J. C.  2000pjCreating human-like synthetic characters with multiple skill levels: A case study using the Soar QuakebotHASimulating Human Agents, Papers from the 2000 AAAI Fall Symposium Menlo Park, CA  AAAI Press 75-79Laird, J. Duchi, J. C. 2000(!The humanity of the Soar Quakebot&Proceedings of Soar Workshop 20 USC/ISI Soar Group 84-89 Lajoie, S. P. Lesgold, A. 1989voApprenticeship training in the workplace: Computer-coached practice environment as a new form of apprenticeship Machine-Mediated Learning3 7-28"Lajoie, S. P. Lesgold, A. M. 1992NHDynamic assessment of proficiency for solving procedural knowledge tasksEducational Psychologist273+65-384.  Lajoie, S. P. 1993F?Computer environments as cognitive tools for enhancing learning S. P. Lajoie S. J. Derry"Computers as Cognitive Tools  Hillsdale, NJ Lawrence ErlbaumLamb, S. Wood, D. J. 1994`YPeer interaction and communication skills in children with moderate learning difficulties H. C. Foot C. J. Howe$Group and Interactive Learning Boston CMPT"Lane, J. D. Williams, R. B. 198582Caffeine affects cardiovascular response to stressPsychophysiology22648-655"Lane, J. D. Williams, R. B. 1987NHCardiovascular effects of caffeine and stress in regular coffee drinkersPsychophysiology24157-164<5Lane, J. D. Adcock, R. A. Williams, R. B. Kuhn, C. M.x 1990Caffeine effects on cardiovascular and neuroendocrine responses to acute psychosocial stress and their relationship to level of habitual caffeine consumptionPsychosomatic Medicine523320-336 *$Lane, P.C.R. Cheng, P.C-H. Gobet, F. 1999^XProblem solving with diagrams: Modelling the implicit learning of perceptual information |uUniversity of Nottingham: Department of Psychology, ESRC Centre for Research in Development, Instruction and Training Tech. Report59.(Langley, P. Bradshaw, G. L. Simon, H. A. 19834-Rediscovering chemistry with the Bacon system 81Michalski, R. S. Carbonell, J. G. Mitchell, T. M.P<5Machine learning, an artificial intelligence approach  Palo Alto, CA Tioga307-330 Langley, P. Ohlsson, S. 1984"Automated cognitive modelingVOProceedings of the 2nd National Conference on Artificial Intelligence (AAAI-84)x  Los Altos, CA Morgan Kaufman193-197 Langley, P. 1995,%Order effects in incremental learning Reimann, P. Spada, H.&Learning in humans and machines Kidlington, UK Pergamon Langley, P. 1996JDAn abstract computational model of learning selective sensing skillsVPProceedings of the Eighteenth Annual Conference of the Cognitive Science Society  Hillsdale, NJ Lawrence Earlbaum385-390"Lapointe, F. J. Legendre, P. 19944-A classification of pure malt Scotch whiskiesApplied Statistics431237-257<5Larkin, J. H. McDermott, J. Simon, D. P. Simon, H. A. 198060Models of competence in solving physics problemsCognitive Science 4317-345 ,1. 12 novice Ss, and 12 expert Ss 2. coded verbal utterances into model level actions 3. compared these to actions of two ABLE models, barely- and more-able 4. comparison was percentage of subject's actions matched, and used a unique diagram N. reprinted in Simon89, 4.6  <5Larkin, J. H. McDermott, J. Simon, D. P. Simon, H. A." 1980@9Expert and novice performance in solving physics problems.Science 208 1335-1342,1. 12 novice Ss, and 12 expert Ss 2. coded verbal utterances into model level actions 3. compared these to actions of two ABLE models, barely- and more-able 4. comparison was percentage of subject's actions matched, and used a unique diagram N. reprinted in Simon89, 4.6  )lba&`_ ihed^]\Ritter, Frank E. 1992Soar/PArOctoberlpiDemo/discussion presented at the Mind Matters symposium held at Carnegie-Mellon in honor of Allen Newell.f Ritter, Frank E. 1992D>Unified Theories of Cognition: One and one-quarter years later <6School of Computer Science, Carnegie-Mellon University Aprill TechnicaltCMU-CS-92-007.2Ritter, Frank E. 1992tnTBPA: A methodology and software environment for testing process models' sequential predictions with protocols Psychology Pittsburgh, PA Carnegie-Mellon University PhD thesis2+will also be available as a SCS tech reportRitter, Frank E. Fox, D. 1992*#Dismal: A spreadsheet for GNU-Emacs  UnpublishedPIThe Soar Project, School of Computer Science, Carnegie-Mellon University>{ 0*Ritter, Frank E. Hucka, M. McGinnis, T. F. 1992Soar-mode Manual <6School of Computer Science, Carnegie-Mellon University Tech.c CMU-CS-92-205\ & Ritter, Frank E. McGinnis, T. F. 1992& The Developmental Soar Interface LFThe Soar Group, School of Computer Science, Carnegie-Mellon UniversityFebruary UnpublishedNHDemo presented at the Soar X Workshop held at The University of Michigan& Ritter, Frank E. McGinnis, T. F. 1992LFManual for SX: A graphical display and interface for Soar in X windows NHThe Soar Project, School of Computer Science, Carnegie-Mellon University Ritter, Frank E. 1993tnTBPA: A methodology and software environment for testing process models' sequential predictions with protocols LFSchool of Computer Science, Carnegie Mellon University, Pittsburgh, PATechnical Report CMU-CS-93-101Ritter, Frank E. 1993>8Using a cognitive architecture to add to protocol theory.'The III European Congress of Psychologyt HBEuropean Federation of the Professional Psychologists Associations,&Abstract included in book of abstractsRitter, Frank E. 1993RKThree types of emotional effects that will occur in cognitive architecturesdIn Workshop on architectures underlying motivation and emotion (WAUME93). School of Computer Science and Centre for Research in Cognitive Science, University of BirminghamRitter, Frank E. 1993Discussant at Symposium on General Architectures of Cognition held at the Sixth general conference of the European society for cognitive psychologyd September .'Ritter, Frank E. Nichols, S. Lochun, S. 1993 Dismal Spreadsheet Manualt  Unpublished{Ritter, Frank E. 1994\UQuestions on BBN, Logo, Timesharing, and CMU for the 1994 Computer Bowl All-Star Game  Boston, MA Computer Museuml$Ritter, Frank E. Young, R. M. 1994PJPractical introduction to the Soar cognitive architecture: Tutorial reportAISB Quarterly8862Ritter, Frank E. Ong, R. 1994*$The simple-menu package, release 1.2 Available from The Ohio State University elisp archives on archive.cis.ohio-state.edu as file /pub/gnu/emacs/elisp-archive/interfaces/simple-menu.el.Z<5Ritter, Frank E. Lochun, S. Bibby, P. A. Marshall, S. 1994VODismal: A free spreadsheet for sequential data analysis and HCI experimentation\ Trapp, A. Hammond, N.\"Computers in Psychology '94r  York (UK)} ,%CTI Centre for Psychology, U. of York 62-63Reprinted in Psychology Software News, Vol. 5 No. 2, November 1994, Computers in Teaching Initiative Centre for Psychology, U. of York. pp. 57-58.Q^ y tRbo&O8 Card, S. K.p 1983.'Visual search of computer command menus Bouma, M. Bouwhuis, D. G.@:Attention and Performance X: Control of language processes London Lawrence Erlbaum 97-108$Card, S. Moran, T. Newell, A. 19832,The psychology of human-computer interaction  Hillsdale, NJ (!Lawrence Erlbaum Associates, Inc. Carley, K. 19880)Formalizing the social expert's knowledge`(!Sociological Methods and Research172165-232 ("1. approx. 48 * 40 min of protocol& Carley, K. Park, D. Prietula, M. 1993NHAgent honesty, cooperation and benevolence in an artificial organizationJDProceedings of workshop on AI and theories of groups & organizations Washington, DC Carley, K. M. 199682A comparison of artificial and human organizations2+Journal of Economic Behavior & Organization31175-191Carlton, L. G. 1981B;Processing visual feedback information for movement controlJDJournal of Experimental Psychology: Human Perception and Performance7 1019-1030,&Carpenter, P. A. Just, M. A. Shell, P. 1990ngCognitive coordinate systems: Accounts of mental rotation and individual differences in spatial abilitynPsychological Review92137-172,Carpenter, et al  ,&Carpenter, P. A. Just, M. A. Shell, P. 1990zsWhat one intelligence test measures: A theoretical account of the processing in the Raven Progressive Matrices Test_Psychological Review973T404-431 Carroll, M. Simington, A. 1986tmThe effects of degree of learning, meaning, and individual differences on feeling-of-knowing a word's meaning(Acta Psychologican61 3-16Carroll & Simingtonp0) Ss learned paired associates 1) 2) Categorizing width correlates with gender 3) Categorizing width of S affect FOK magnitude and accuracy, but not knowing 4) used 4 categories of FOKCary, M. Carlson, R. A. 1999F@External support and the development of problem solving routinesJCJournal of Experimental Psychology: Learning, Memory, and CognitionX25 1053-1070 Casner, S. Larkin, J. H. 1989B;Cognitive efficiency considerations for good graphic designLEProceedings of the Annual Conference of the Cognitive Science Society  Hillsdale, NJ Lawrence Erlbaum275-282,Casner & Larkin  ,%Cavendish, S. J. Underwood, J. D. M. 19942+The Role of Empirical Research in EducationF@Invited workshop paper ITTE Conference on Research Methodologies Exeter UniversityMay 17th and 18th.Ceranowicz, A. 1998 STOW 97 - 99b\Proceedings of the 7th Conference on Computer Generated Forces and Behavioral Representation  Orlando, FL F?Division of Continuing Education, University of Central Florida 3-17<5Scott R. Chaiken Patrick C. Kyllonen William C. Tirre~ 200082Organization and components of psychomotor abilityCognitive Psychology40198-226@ "Chambers, J.M. Hastie, T.J.` 1992Statistical Models in S Pacific Grove, CA Wadsworth and Brooks/Colethe White Book*#Chandrasakaren, B. Josephson, J. R.  1999`ZCognitive modeling for simulation goals: A research strategy for computer-generated forces`YProceedings of the 8th Computer Generated Forces and Behavioral Representation Conference  Orlando, FL tmDivision of Continuing Education, University of Central Florida. www.sisostds.org/cgf-br/8th/view-papers.htm239-250 ,%Chapman, T. Ritter, F. E. Baumann, M. 1996$Electronic warfare task manual F@Cognitive Modeling unit, Psychology Department, U. of Nottingham Working paperoWP/R3BAIA005/013 Charness, N. 1991B8How does very prolonged practice improve decision speed?2+Journal of Experimental Psychology: General 118338-3452+Journal of Experimental Psychology: General Rajagopalan, R. M. 198482Qualitative Modeling in the Turbojet Engine Domain 60Coordinated Science Lab - University of Illinois Technical T-139& Ram, A. Narayanan, S. Cox, M. T. 1995tnLearning to troubleshoot: Multistrategy learning of diagnostic knowledge for a real-world problem-solving taskCognitive Science193289-340  Ramsay, A. 1995HBCompressed real time communications protocol (CRTCP) specification  Portsmouth  DRA/PortsdownTDS/10/AFR/001  Ramsay, A. F 1995D>OOPSDG Modelling Environment for the Centre for Human Sciences Portsmouth, UK  DRA PortsdownDRA/CIS(SS5)/1026/9/2@9Rao, R. P. N. Zelinksy, G. J. Hayoe, M. M. Ballard, D. H. 19962,Modeling saccadic targeting in visual search *$Touretzky, D. Mozer, M. Hasselmo, M.:3Advances in neural information processing systems 8  Cambridge, MA  MIT Press830-836 Jeff Raskin 2000The Humane Interface Addison-Wesley Pub Cor 256March 24, 2000 02013793764Rasmussen, J. Jensen, A.   1974  nQMental procedures in real-life tasks: A case study of electronic trouble-shooting  & Ergonomics  17  $293-307   Rasmussen, J. 1983ngSkills, rules, knowledge: signals, signs and symbols and other distinctions in human performance models4-IEEE Transactions: Systems, Man & Cyberneticsu SMC-13257-2670 Rassouli, J. 1995>8Steps towards a process model of mouse-based interaction Psychology  Nottingham U. of Nottingham MSc thesisRatcliff, R. McKoon, G. 1988.'A retrieval theory of priming in memoryDPsychological Review953385-408Ratcliff & McKoonRauterberg, M. 1993rlAMME: An automatic mental model evaluation to analyse user behavior traced in a finite, discrete state space Ergonomics3611 1369-1380 Rayner, K. 1989 The psychology of reading Englewood Cliffs, NJ  Prentice HallRead, J. D. Bruce, D. 1982:4Longitudinal tracking of difficult memory retrievalsCognitive Psychology280-300- Read & Bruce0) used pictures of entertainers, Ss asked for names, recalled over 19 days 1) Ss described memory contents and not processes 2) stronger judgments of retrievability => faster resolution, and more related information retrieved. 3) infrequent spontaneous retrieval, presumably not spontaneous,just not remembered. 4) alternative modality (written description vs. another picture) helps recall 5) 62% recalled, 50% by just trying, 8% by reported environmental cues 6) visual probes essentially equivalent to verbal probes on retrievability judgments. 7) visually presented probes not quite as good as good at retrieval itself, but the difference is suspect 8) attempted retrieval resulted in partial name information (21%), other semantic or episodic information about the target (18%), visual or auditory information (10%), and focusing and reiterating on a specific episode or aspect of the target (7%), name generation (19%), spontaneous retrievals (4%), misc and non specific (20%). Reason, J. 1990 Human error  Cambridge, UK Cambridge University Press Reber, P. J. 1991^WFitting models to data: The case of models derived from the analysis of verbal protocol  Reder, L. M. 1982d^Plausibility judgments versus fact retrieval: Alternative strategies for sentence verificationPsychological Review893X250-280 Reder&0) used stories and (im)plausible and included statements, and retrieval and plausibility judgments 1) B4 answering a question, a person engages in an initial strategy selection phase in order to decide which strategy or sequence of strategies to use. 2) presents formal model of choicesP&z>BM^  -"|N Swets, J. A. 1986b|uForm of empirical ROCs in discrimination and diagnostic tasks: Implications for theory and measurement of performancePsychological Bulletin992H181-198xr1. lots of data showing that d' is an ok measure, 2. sometimes it's squirelly 'cause of variance != in S and Noise .'SyntheticEnvironmentsManagementBoard 1998~xSynthetic environments and simulation: The report of the Defence and Aerospace Foresight Panel Technology Working Party 6/Vickers Defence Systems, Crossgates, Leeds (UK)h$Szekely, P. Luo, P. Neches, R. 1992leFacilitating the exploration of interface design alternatives: The HUMANOID model of interface designPIProceedings of the CHI92 Conference on Human Factors in Computer Systems  New York, NY ACM507-515$Szekely, P. Luo, P. Neches, R. 1993<6Beyond interface builders: Model-based interface tools"Proceedings of InterCHI 93  New York, NY ACM383-390Taatgen, N. A. 1997RKA rational analysis of alternating search and reflection in problem solvingPJProceedings of the 19th Annual Conference of the Cognitive Science Society  Hillsdale, NJ ErlbaumTaatgen, N. A. 1999 Explicit learning in ACT-R (!Schmid, U. Krems, J. Wysotzki, F.XQMind modeling - A cognitive science approach to reasoning, learning and discoveryP Lengerich (Germany) "Pabst Scientific Publishing<233-252 isbn 3-933151-25-2 Taatgen, N. Aasman, J. 2000LFProceedings of the 3rd International Conference on Cognitive Modelling "Veenendaal, The Netherlands Universal Press 202-2092+Tabachneck, H. Leonardo, A. M. Simon, H. A. 1995`ZHow does an expert use a graph? CaMeRa: A Computational model of multiple representations  Unpublished|>8Tabachneck-Schijf, H. J. M. Leonardo, A. M. Simon, H. A. 1997@9CaMeRa: A computational model of multiple representationsCognitive Sciencen213305-350P"Tabor, C. S. Timpone, R. J.  1996Computational modelling(^XSage University paper series on quantitative applications in the social sciences, 07-113 Thousand Oaks, CA SageISBN 0-8039-7270-9^XTambe, M Johnson, W. L. Jones, R. M. Koss, F. Laird, J. E. Rosenbloom, P. S. Schwamb, K. 1995@:Intelligent agents for interactive simulation environments AI Magazine@1610 15-40Tambe, M 1997 Towards flexible teamwork2+Journal of Artificial Intelligence Research7 83-124& Tang, H. Major, N. P. Rivers, R. 1987From users to dialoguesHCI '87voTaskForceoftheEuropeanSocietyofCardiologyandtheNorthAmericanSocietyofPacingandElectrophysiologyT 1997f`Heart rate variability: Standards of measurement, physiological interpretation, and clinical use Circulation93 1043-1065"Tenney, Y. J. Spector, S. L. 2001Comparisons of HBR models with human-in-the-loop performance in a simplified air traffic control simulation with and without HLA protocols: Task simulation, human data and results"`ZProceedings of the 10th Computer Generated Forces and Behavioral Representation Conference  Orlando, FL tmDivision of Continuing Education, University of Central Florida. www.sisostds.org/cgf-br/10th/view-papers.htm 15-26& Tesler, L.   1983  B&Enlisting user help in software design  ,SIGCHI Bulletin   14  ( 3 January   5-9<  "Tesler  F*Thibadeau, R. Just, M. A. Carpenter, P. A.   1982  N1A model of the time course and content of reading  .Cognitive Scienceu  6D  $157-203  b Rosenbloom1987  Rosenbloom1987h Rosenbloom1987  Rosenbloom1989 Rosenbloom1989 Rosenbloom1990* Rosenbloom1991 Rosenbloom1991 Rosenbloom1991< Rosenbloom1992  Rosenbloom1992@ Rosenbloom1992  Rosenbloom1994B Rosenbloom1995 Rosenbloom1995X Rosenbloom1996h Rosenbloom1998 Ross19767i Ross1987j Ross1990 Ross19922uRossen 1992 May Roth19877Q Roth1998w Roth1999K Rouge1993x Rouse1980 Rouse1989 Rovee-Collier1985 Rovee-Collier1989q Roy1990 Roytam2001  Rnnquist1999 Rnnquist1999Rubinoff19949C Rueter19949y Rugg19881q Rugg1994 Ruhmann1987  Ruiz1989 Rumelhart1985 Rumelhart1986  Rumelhart1986  Rumelhart1986 Rumelhart1988V Russell1996 Russell2000 Russo1978 Russo1989d Ryan1982 Ryder1992: Saariluoma1990 Sadeh1989 Saisi1987 Sakoe1978 Salomon1999 Salthouse1986Salvucci1999Salvucci2000tSalvucci2001 Samual1959 Sandberg19949 Sanderson1989 Sanderson1989 Sanderson1989 Sanderson1990 Sanderson1990 Sanderson1990 Sanderson1990= Sanderson1993 Sanderson1994 Sanderson1994 Sanderson1994 Sanderson1995 Sankoff1983B Sanocki1987 Saracevic1998 Sasse1999 Sasseville1989 Sattath1977\ Sauers19844C Saul19979  Savage1995J Scaroni1990 Schachter1962fSchacter1983eSchacter1985 Schank1982 0 Scharf1990uScheirer19672 Schlimmer1993 Schmalhofer1998l Schmidt1974 Schneider1999 Schneider2000 Schoelles1998] Schoelles2000` Schoelles2000 Schoellesin press Schofield1995 Schofield1998Schooler1991Schoolerin pressx Schraagen2000 Schraagen2000t Schreiber1992 Schreiber2000w Schroeder1992 Schulte1995 Schunn1997 Schunn1998\ Schwamb1994  Schwamb1994 Schwamb1994 Schwamb1995i Schwamb1998 Science). Scott1994 Scurrah1971 Sears1993* Sears1995 Sears1998.Sechrest1986+ Seely Brown?P Seibel1963 Seidler1989 Seidler1990 SeifEl-Nasr2000U Sejnowski1985 Sejnowski1986 Sekuler1985 Sekuler1994# Senders1976w Senders1991Servan-Scheiber1992Servan-Schreiber1990 Severinghaus1998v Shackleton1989yShadbolt1988Shadbolt1990IShadbolt19929ZShadbolt1992oShadbolt1992uShadbolt19929KShadbolt1993fShadbolt19933qShadbolt19944pShadbolt1995`Shadbolt1995Shadbolt1995Shadbolt1996Shadbolt1997Shadbolt1998Shadbolt1998Shadbolt1998Shadbolt1998.Shadbolt1999Shadbolt1999Shadbolt20000Shadboltin preparation pShadboltin pressl Shafto1998 Shah19999x Shalin20000 Shallice1995Shanahan1986 Sharp1994 Shaw19585< Shaw19585 Shaw196062 Shaw1981s Shaw1987 Shea19969+ Sheinberg1997 Sheldon2001 Shell1990 Shell19907 Shelley1989Sheppard1992Sheppard2000#Sherrill-LubinskiCorporation1994*Sherwood1984*Sherwood1984+Sherwood1991,Sherwood1992,Sherwood1992Sherwood1993Shiffrin1968w Shivers1987 Shneiderman1995h Shneiderman1998h Shrager1984 Shrager1988F Shrager1990Shrayane1996t7 Shum1996z Shute1992 Shute1993 Siegle19933h Siegler1984 Siegler1986 Siegler1987i Siegler1988gSieglerin press SIGArt1991C Simon1966 Simon1967 Simon19679 Simon1969 Simon1972 Simon1973 Simon19738 Simon1973v Simon1973 Simon1974 Simon1976 Simon1977 Simon1978 Simon1978 Simon1979 Simon1979 Simon1980 Simon1980 Simon1980 Simon1980 Simon1980( Simon1981 Simon1981 Simon1983 Simon1984 Simon19843 Simon1984 Simon1985 Simon1987 Simon1988 Simon1989 Simon1989 Simon1989 Simon1989 Simon1990 Simon1990 Simon1990 Simon1990  Simon1991 Simon1991 Simon1991 Simon1993% Simon1993Y Simon1993 Simon1995  Simon1995 Simon1995; Simon1996G Simon1996H Simon1996 Simon1997 Simon1997F Simon2000}Simonin pressp Simons1997[ Singer19630/ Singer1972\ Singer19929 Singer1999  Singley1987 Singley1989 Siochi1991L Sivadas1995Skidmore199556 Skinner1957 Sleeman1982l Sloman1978 Sloman1987 Sloman1989@4 Sloman1995 Sloman1996L Sloman1998$ Sloman1998Z Sloman1998] Sloman1998Y Sloman19990\ Sloman1999g[ Sloman2000L Small1995 Smit2000 Smith1966 Smith1967 Smith1978 Smith1978 Smith1990 Smith1991 Smith19910 Smith1992w Smith1992a(x Smith1992b$X Smith1993 Smith1995? Smith1996 Snoddy1926 Snow1990y Snyder1990  Soar1990SZ Solorzano1992ZSolvberg19922 Soto19981 Spada1993D Spada1994 Spada1997U Sparrow1996 Spector2001 Spencer1986JSpensley1990 Spera1962Sperling1961 Spink1996 Spink1998 Spink2001 Sproull1996 Squire19874 St.Amant1999 St. Amant2000" St. Amant2000 St. Amant2001 St. Amant2002Stafford1989Stallman1977.Stallman1984/ Stanley1963V Stapleton1996 Staszewski1988X Staszewski1995; Staszewski1996 Staszewski1997t Staszewski1998yStatistical Sciences1991 Staton1966@ Stefanelli1999 Stefik1993 Steier1987$ Steier1987 =n <Hn?</.NO N^NuNVAC n .Hn?</.NrO N^NuNVAC =n <Hn?</.N>O N^NuNVAC =n <Hn?</.N O N^NuNV/.NX lBg8NZBgN.TN/,D./.?. NIEEE Transactions on Pattern Analysis and Machine Intelligence44392-399LEPearson, D. J. Huffman, S. B. Willis, M. B. Laird, J. E. Jones, R. M. 1993:4A symbolic solution to intelligent real-time control&Robotics and Autonomous Systems11279-291Peck, V. A. John, B. E. 1992F@Browser-Soar: A computational model of a highly interactive taskRKProceedings of the CHI 92 Conference on Human Factors in Computing Systems  New York, NY ACM165-172( Peck, V. A.   1992  2Personal communication  $November  Nov. 29, 92 Agreed 25-50% of the model developing is in the testing. It took 3-4 hours for simple alignment once trace was done, 7-8 hours for a long one. Excel also slows down for large sheets. They knew: read was bad, menu reading was bad, learning, match rate varied wildly, verbal lagged. Gin had done 4 model support graphs, took approximately an 8 hour day Gin had limited time at end, tested spa most of all rather than s-mode. Gin left CMU 31 aug>]   Pelton, G. 1994 New-Soar-IO Pittsburgh, PA The Soar Group, School of Computer Science, Carnegie-Mellon University. FTPable from centro.soar.cs.cmu.edu: "/afs/cs/project/soar/member/gap/soar6/new-soar-io/default-io.c""Unpublished computer program$Perfetti, C. A. Lesgold, A. M. 1977D=Discourse Comprehension and Sources of Individual Differences "Just, M. A. Carpenter, P. A.& Cognitive processes in cognition  Hillsdale, NJ Lawrence Erlbaum141-183 Perlman, G. 19884-Software tools for user interface development  Helander, M.,&Handbook of Human-Computer Interaction  Amsterdam, NL  North-HollandPerry, Tekla S., 1998The father of the SPICE program and driving force behind the development of IC simulation will receive the 1998 IEEE medal of honor IEEE Spectrum 22-27 June 19984Peterson, C. Hartman, E.   1989  V:Explorations of the mean field theory learning algorithm>,  ,Neural Networks_  2L  1  $475-494  f_Peterson, Matthew S. Kramer, Arthur F. Wang, Ranxiao Frances Irwin, David E. McCarley, Jason S. 2001Visual search has memoryPsychological Science{124e287-292R July 2001R Memory-Guided Search Petroski, H. 1982D>To engineer is human: The role of failure in successful design  New York, NY St. Martin's Press Pew, R. W. Mavor, A. S.p 1997JCRepresenting human behavior in military simulations: Interim report ngPanel on Modelling Human Behavior and Command Decision Making: Representations for Military Simulations. Washington, DC PINational Academy Press. http://pompeii.nap.edu/bo_book/0309057477/html/ Pew, R. W. Mavor, A. S. 1998VOModeling human and organizational behavior: Application to military simulations Washington, DC >7National Academy Press. books.nap.edu/catalog/6173.html Piaget, J. 1954.(The construction of reality in the child  New York, NY  Basic Books Picard, R. W. 1997Affective computing  Cambridge, MA  The MIT Press Picard, R. A. 1999"Response to Sloman's review The AI Magazine201134-137JCPincomb, G. A. Lovallo, W. R. Passey, R. B. Brackett, D. J., et al. 1987^WCaffeine enhances the physiological response to occupational stress in medical studentsHealth Psychology 62 101-112 Pinker, S. 1985Visual Cognition  MIT PRESS 296 pages  $17.50 paper ISBN 16103-6Pirenne, M. H. 1967Vision and the eye  London, UK Chapman and Hall 2ndPitkow, J. Recker, M.0 1995NGUsing the Web as a survey tool: Results from the Second WWW User Survey b\http://www.igd.fhg.de/www/www95/papers/79/survey/ survey_2_paper.html (visited 6 March 1998) Pitkow, J. E. Kehoe, C. M. 19960*Emerging trends in the WWW user population Communications of the ACM396 106-107"Pitkow, J. E. & Kehoe, C. M. 1996 GVU's 6th WWW User SurveyTNhttp://www.gvu.gatech.edu/user_surveys/survey-10-1996/ (visited 6 March 1998) * Pitman, K. M.   1985  R6Cref: An editing facility for managing structured text  fIMassachusetts Institute of Technology, Artificial Intelligence Laboratory  .A.I. Memo No. 829   4 1. talks about a system   Pitrat, J. 19774-A chess combinations program which uses plansArtificial IntelligenceF8275-321 Platt, J. R. 1964Strong InferenceScience 146 3642347-353* Ioerger2000 Irwin1992; Irwin1993 Irwin1996 Irwin1996 Irwin2001 Ivory2001! 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Bibby, P. A.l 1997F@Modelling learning as it happens in a diagramatic reasoning task 82ESRC CREDIT, Dept. of Psychology, U. of Nottingham Tech. Report45Ritter, Frank E. 19970)WWW presentation of overheads & exercisesr"CTI Psychology Software News7\2346 Septemberc"Ritter, Frank E. Bishop, M. 1997ZSThe effect of abbreviation on time and errors: Even novices can profit from aliases2 unpublished manuscript.'Ritter, Frank E. Jones, G. Young, R. M. 1997LFReport on Tutorial 1: Introduction to the Soar cognitive architectureAISB Quarterly9850issn 0268-4179 $Ritter, Frank E. Young, R. M.l 1998JDProceedings of the Second European Conference on Cognitive Modelling  Nottingham "Nottingham University Press 215+vii &Ritter, Frank E. Wallach, D. P. 19982,Models of two-person games in ACT-R and SoarJDProceedings of the Second European Conference on Cognitive Modelling  Nottingham "Nottingham University Press202-203Qsent to soar-doc 29/4/98<5Ritter, Frank E. Jones, G. Baxter, G. D. Young, R. M. 1998<6Lessons from using models of attention and interaction5th ACT-R Workshop HAPsychology Department, Carnegie Mellon University, Pittsburgh, PAM117-123given to rsh 13/8/98.(Ritter, F. E. Jones, R. M. Baxter, G. D. 1998hbReusable models and graphical interfaces: Realising the potential of a unified theory of cognition (!Schmid, U. Krems, J. Wysotzki, F.XQMind modeling - A cognitive science approach to reasoning, learning and discoveryO Lengerich, Germany "Pabst Scientific Publishing  83-109isbn 3-933151-25-2 Ritter, F. E. Young, R. M. 1999d^Moving the Psychological Soar Tutorial to HTML: An example of using the Web to assist learning 0*Peterson, D. Stevenson, R. J. Young, R. M.d^Proceedings of the AISB '99 Workshop on Issues in Teaching Cognitive Science to Undergraduates RLSociety for the Study of Artificial Intelligence and Simulation of Behaviour 23-24Q2,Ritter, F. E. Belavkin, R. V. Elliman, D. G. 1999LFAffective computing: The role of emotion in human-computer interaction $Monk, A. Sasse, A. Crerar, A. piBritish HCI Group one-day meeting in conjunction with University College London (collection of abstracts)< RKRitter, F. E. Shadbolt, N. R. Elliman, D. Young, R. Gobet, F. Baxter, G. D. 1999b\Techniques for modelling human performance in synthetic environments: A supplementary review 82ESRC CREDIT, Dept. of Psychology, U. of Nottingham Tech. Report62. Tentively accepted for publication as a 'State of the art report' by the DoD's Human Systems Information Analysis Center (HSIAC), formerly known as the Crew System Ergonomics Information Analysis Center (CSERIAC). Ritter, F. E. Young, R. M. 1999`ZReport on the AISB99 Workshop on Issues in Teaching Cognitive Science to Undergraduates".(AI and Simulation of Behaviour Quarterly 102 7-81 Ritter, F. E. Young, R. M. 1999pjThe Psychological Soar Tutorial. Presented at the 21st Annual Conference of the Cognitive Science Society &Ritter, F. E. Avraamides, M. N. 2000jdSteps towards including behavioural moderators in human performance models in synthetic environments Applied Cognitive Science Lab, School of Information Sciences and Technology, Penn State. http://ritter.ist.psu.edu/acs-lab/reports/ritterA00.pdf Tech. Report 2000-1 Ritter, F. E. 2000A role for cognitive architectures: Guiding user interface design, contribution to the Applications of Cognitive Architectures panel (slides)@60Proceedings of the Seventh Annual ACT-R Workshop :4Department of Psychology, Carnegie-Mellon University Pittsburgh, PA 85-91 ;IJF6N2O.EX  <'+U-OU1P;2+JJ1-OOXKUXG N0 EEE K< 7 Y  <0F< < 0 +CC<GLNV W'GXV,1DOLGCCCK C;;E"O1<,20NC0 /  N,2< KX 0GD0D7X-FV1F IGNCCCII1'J0C"B1U,1bFV1 +G-+A J0 ;;IWG" G; 1ULFOWLLJ;^<1b (eds)1993Z Aakvik199294 Aasman1992  Aasman1995V Aasman1996 Aasman20000{ Aasman20011 Abelson1963' Abelson1984 Abotel1995, Abowd1998(Ackerman1989 Ackley19858 Adam1995 Adams1979 Adcock1990Z Adey19929l Afifi1984 Agre1987F Agre1990J Agre1996P Ainsworth1994X AinsworthIn press Akkermans2000 Akscyn19849 Akyurek1992  Akyurek1992 Albus1971 Alder1996Alechina1998"Alechina1998 Allen1986o Allen1986h Allen1991 Allport1989 Alluisi1991u Altmann1989 Altmann1990 Altmann1991 Altmann1991 Altmann1992' Altmann1993< Altmann1994; Altmann1995< Altmann1996 Altmann1999 Altmann1999 Altmann1999oAltmannin press Amalberti1992 Amra19919 Amra19944+Andersen1991Andersen1993 Andersen1999Anderson1973Anderson1981Anderson1981Anderson1982dAnderson1983\Anderson1984Anderson1987Anderson1989Anderson1989Anderson19900Anderson1990Anderson1990bAnderson19900]Anderson1991Anderson1991Anderson1993p#Anderson1994jAnderson1994Anderson1994Anderson1995cAnderson1995Anderson1995]rAnderson1996Anderson1996tAnderson1997Anderson1997Anderson1998(Anderson1998Anderson1998Anderson1998Anderson1998Anderson1998xAnderson19991bAnderson2000iAnderson2001j Angros1998, Anjewierden1990Z Anjewierden1992u Anjewierden1992 Anjewierden2000 Anonymous19889Ansayin press Anzai1979 Anzai19848Aptowicz1997! 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Association1994Atkinson1968wAtkinson19723Atkinson1973 Atwood1976 q Atwood1992.+ Atwood1992p Atwood1993$ Avraamides2000@ Avraamides2001, Avraamides2001 Avraamides2001` Avraamides2001 Avraamides2002 Avraamides2002 Avraamides2002 Avraamides submitted Axelrod1984 Baccino1995d Baccino1995 Bach19994IBachholz1988fBaddeley1975Baddeley1976Baddeley1980Baddeley1982Baddeley1986]Baddeley19877Baddeley1994pBaddeley1997" Bader1990 Bai1993 Bailey1987 Bailey2001 Bain19955 Bainbridge1979 Bainbridge1987 Bainbridge1995 Baker1972 Balbo1995 Ball19879 Ball19919L Ballard1996 Ballas2001N Balota1991  Banerji1989 Banks19989 Barenfeld1969 Barnard1987 Barnard1987 Barnard1989 Barnard1993 Barnard1993 Barnard1994n Barnard1998o Barnard2000 Barnes1993 Barnes19962 Baron1978 Baron1987b Baron2000 Barret200114 Barrow?x Barstow1983 Bartl1998 Bartl2000 Bass1994 Bass1994D Bass1995V Bass19989 Bassok19895 Bates1990 Battaglia1978 Battig1962< Bauer1995\ Baum1992D Baum1995 Bauman2001&b Baumann1996' Bautsch1997 Baxter1995  Baxter1995 Baxter1996  Baxter1996 Baxter1996 Baxter1996, Baxter1996  Baxter1997,} Baxter1997p Baxter1998I Baxter1998 Baxter1998 Baxter1999, Baxter19999l Baxter2000a Baxter2001pBaxterin presss Bayazitoglu1991 Baykan1989> Baylor1966 Beakley1972 Beale1998* Beaman1998,? Beard19964Beaudoin1995Beaudoin1996x Bechtel1983m Becker1988 Beevis1999Belavkin1999 Belavkin1999uBelavkin20003zBelavkin2001%Belavkin2003Belavkin submitted Belkin1987 Bell19747V Bell1996mBelyavin2000~Benbasat1987x Bennet19833 Bennett1997 Benson19838n Bentler1980r Berger19929LBergondy1989<Berntson1991=Berntson1993ABerntson1993>Berntson1994?Berntson1994CBerntson1997% Berwick1985 Best1998t Bestavros1995 Bestavros1995 Bestavros1995 Bhaskar1977 Bhaskar1978 Bhaskar1982 Bhuiyan1991 Bibby1989 Bibby1993 Bibby1993 Bibby1994m Bibby1994 Bibby1996( Bibby1997 Bibby2000q Bibby2001 Biederman1992C Bigger19979m Bigus1997m Bigus1997 Billingsley1998? Binkley1994 Bishop1984&g Bishop1997 Bjork19784 Blake1973 Blake1985 Blake1994 Blandford1993 Blandford1996 Blascovich1993@ Blascovich1994@ Blascovich1997@ Blascovich1999@ Blascovich1999 Blascovich2000@ Blaxton1987Blessing1996t Block2002Bloedorn1985F Bloom1984! Bobrow1985 Boden1988 Bodenhousen1996 Boehm-Davis2000 Boff1986 Boff1988> Bolles1994T Bonnardel19977 Booth19895 Booth1998W Borison1997P Born1985sI Born19881 Bovair1984 Bovair1986 Bovair1997> Bower1973 Bower1978 Bowers1990( Boyes-Braem1976Brackett19875 Bradley1981Bradshaw1983 Brass1995 Braun1994 Bray1995 Brazier1999 Bree1968 Bree1969t Breuker1992E Bre1975c Briggs1988& Brinck2002 Broadbent1979o Brooks1975$ Brooks1987 J Brooks19900h Brooks1991 ? Brooks1992 Brooks199997 Brown1966 Brown19746 Brown1977 Brown1980 Brown1982 Brown1984 Brown1986 Brown1987 Brown1988 Brown2000c Bruce1982 Brueker1989 Bruner1976. Bryan1897xBuchanan1983BuckinghamShum1994oBuffardi1986S Bukatko1995 Bunzon19922 Burke1993 Burke1995 Burton1974 Burton1980y Burton1988q Burton19949p Burton19959` Burton19959 Busetta1999 Busetta1999| Butler2000LJ Byerley1990 Byrne1987 Byrne1994 Byrne1994 Byrne1997 Byrne1997 Byrne1998_ Byrne1999 Byrne1999 Byrne1999  Byrne1999 Byrne2001' Byrne2002& Byrne2003 C.I.A.1978 C.I.A.1979  C.I.A.1980 C.I.A.1981 C.I.A.1981| Cacciabue1991 Cacciabue1992 Cacciabue1993<Cacioppo1991=Cacioppo1993ACacioppo1993>Cacioppo1994?Cacioppo1994@Cacioppo1994Z Calabretta19922+ Calfee1985 m Camenzind1997/Campbell1963^!Campbell1995  Carbonell1989p Card1980 Card1983 Card1983 Card198983 Card19909 Carey1994 Carley1988( Carley19939 Carley19949 Carley19950 Carley1996 Carlson1999Carlson-Radvansky1996 Carlton1981 Carpenter1980` np P00nt:dXV    0)Rovee-Collier, C. Earley, L. Stafford, S. 1989b\Ontogeny of early event memory: III. Attentiona determinates of retrieval at 2 and 3 months&Infant Behavior and Development12147-161 0)used infant kicking measures, context was striped crib liner or not 1) younger infants (2 mo) infants forget faster than older (3 mo) infants, and encode fewer items (from gaze data), and sample less 2) distinctive context did not help learning, but context specific learning was not investigated. Roytam, S. 2001("Soar Lint: Static testing for Soar(!Proceedings of 21st Soar Workshop  Ann Arbor, MIp PJSoar Group, Artificial Intelligence Laboratory, The University of MichiganF@73-73, ai.eecs.umich.edu/soar/workshop21/talks/author-index.htmlRuiz, D. Newell, A.r 1989RKTower-noticing triggers strategy-change in the Tower of Hanoi: A Soar modelTNProceedings of the Eleventh Annual Conference of the Cognitive Science Society522-529@9Rumelhart, D. E. McClelland, J. L. thePDPresearchgroup 1986ngParallel distributed processing: Explorations in the microstructure of cognition. Volume 1: Foundations  Cambridge, MA  The MIT PressVolume 1J.Rumelhart, D. E. Hinton, G. E. Williams, R. J.   1986  R6Learning internal representations by error propagation  gParallel distributed processing: Explorations in the microstructure of cognition. Volume 1: Foundations  ( Cambridge-MA  & MIT-Press  $318-364   Russo, J. 1978& Eye Movements can Save the World  Hunt, J.K.$Advances in Consumer Research (!Association for Consumer ResearchuH+Russo, J. E. Johnson, E. J. Stephens, D. L.   1989  < The validity of verbal protocols  & Ergonomics  17  6  $759-769  *1. looks at theoretical claims by running TA and retrospective protocols on 4 dissimilar tasks. 2. TA lead to some lower accuracy on 2, and slower on most. 3. Retrospective protocols yielded forgetting or 4. Concludes that validity should be based on an empirical check  .(Ryan, M. P. Petty, C. R. Wenzlaff, R. M. 1982D=Motivated remembering efforts during tip-of-the-tongue statesActa Psychologica51137-147 Ryan, et al1) No effect of study time (1,3,7s x 1 repetition) interacting with FOK disrupting a distractor task => FOK is not strength based 2) used paired associates of English words 3) relatively small (but sig.) effect of FOK disrupting an ongoing-task which would imply covert search 4) conc: FOK motivates further search 5) 90% of Ss didn't think that TOT for paired asssoc different than for naturalistic TOTSaariluoma, P. 1990F@Apperception and restructuring in chess players problem solving <5Gilhooly, K. J. Keane, M. T. G Logie, R. H. Erdos, G.Lines of thinking  New York, NY John Wiley Sons Ltd.20Sakoe, H. Chiba, S.   1978  bFDynamic programming algorithm optimization for spoken word recognition  Z=IEEE Transactions on acoustics, speech, and signal processing4  26  1  "43-49  ( 1. read 6/92  Salthouse, T. A. 1986HBPerceptual, cognitive, and motoric aspects of transcription typingPsychological Bulletin33303-319Salvucci, D. D. 1999ZSinferring intent in eye-based interfaces: Tracing eye movements with process modelsPIProceedings of the CHI99 Conference on Human Factors in Computer Systems  New York, NY ACM254-261 Salvucci, D. 20004.A model of eye movements and visual attention.NHProceedings of the Third International Conference on Cognitive Modeling.252-259 2000<5http://www.mcs.drexel.edu/~salvucci/ICCM00/ICCM00.pdf Salvucci, D. 2001hbPredicting the effects of in-car interface use on driver performance: An integrated model approach6/International Journal of Human-Computer Studies55 85-107 Samual, A. L. 1959B;Some studies in machine learning using the game of checkers.'IBM Journal of Research and Development3 July210-229 Samual Mickish1990s Mickish1991 Mickish1993W Mickish1997 Middlemass199587 Middleton1975 Middleton1978 Milburn1995 Miller1956 Miller1978$S Miller1984 Miller1991 Miller1993 Miller1995fn Miller1996%W Miller19979Millward1964 Milnes1988 ) Minsky19690  Minton1989, Minton1990p Mirdad199553 Mishra19842{ Misker2001xMitchell19838Mitchell1987 Miwa1993 Miyake1999  Moffat2000 Moller19811 Monk19955& Monk1998 Monk1999( Monk1999C Monks1974D Monks1977Monteiro1978# Monty1976# Moon19841 Moore1991 Moore1998R Moore1998p Moran1980 Moran1983 Moray1976v Moray1987w Moray1991 Morch1991YMordkoff in revisionB Morris19877 Morris19909* Morton1998,L Moskal19898L Mosner19898s Mosteller1977 Motta1988K Motta1993 Mueller1996O Murdock1970 Murphy1981 Murray19844 Murray1987 Murray1988c Murray1992r Muscettola1990 Mutter19888t Myers1990 Myers1990s Myers1991 Myers1991uMyers 1992 May Myers1993 Myers1993S Myers1995W Myers1997CNagaraja1997 Nagel1975A Narayanan1995W Narayanan1995T Narens1980Z Narens1980 Y Narens19828W Narens1984TX Narens19868I Narens19900[ Narens1990 Nasr19891 Neches1982  Neches1987 Neches19877 Neches19922 Neches19933K Neisser1976T Nelson1980Z Nelson1980 Y Nelson1982U Nelson1984W Nelson1984TL Nelson19855V Nelson1986X Nelson1986I Nelson19909[ Nelson1990" Nelson1994 ~ Nelson1994 Nerb1992 Nerb1992: Nerb1993: Nerb19949 Nerb1997 Nerb1999NNerbIn preparationtONerbIn presset Neter1985Neuwirth1990 Neves1981 Neves1981 Newell1956 Newell1956  Newell1958< Newell1958 Newell1960X Newell1961  Newell1968 Newell19717 Newell1972  Newell1972 Newell1973 Newell19737p Newell1980( Newell1980a Newell1980b Newell1981  Newell1982 Newell19821 Newell1983 Newell1984$ Newell19861 Newell19861 Newell1987 Newell1987  Newell19871 Newell1987@ Newell19871 Newell1988 Newell1989 Newell1989 Newell1989 Newell1989  Newell1989 Newell19900 Newell1990 Newell19914 Newell1991 Newell1991  Newell1991 Newell1991 Newell19911 Newell19929 Newell1992 Newell1992  Newell1992 Newell19921 Newell19939< Newell1994.< Newell1994. Newell1994 Newell1995 Newsted1971 Newton19844Nhouyvanisvong1997 Nichols1993d Nichols1995 Nickerson1969\ Nickerson1977 October 6-8 Nickerson1979] Nickerson1987 Nielsen1994k Nielsen1994f Nielsen1997 Nielsen1997  Nielsen1997/ Nielsen1999 Nielsen-Netratings.com2002% Nilsson1968_ Nimmo-Smith1983a Nisbett1986 Nishihara1978/ Nolan1990Z Nordbo19929 Nordvik1992 Norling2001^ Norman1973Tu Norman1977 Norman1986 { Norman1988  Norman1990 Norman1991 Nwana1996O'Connor submitteda O'Hara1994 O'Hara19979 O'Hara1998t O'Hara1998pbO'HaraIn pressNO'Malley1993XO'MalleyIn presss O'Regan1997 O'Rorke1994 O'Shea1981MO'SheaIn preparation Oatley1992  Odlyzko1995Odlyzko 22 Apr 1996 Ogilvie1966 Ohlsson1980 Ohlsson1984 Ohlsson1990~ Ohlsson1991| Ohlsson1992 Ohlsson1992  Ohlsson1992 Ohlsson19921 Ohlsson1995 Ohlsson1996 Ohlsson199? Okada1991U Olds19959 Oliveto1997 Olsen1993v Olson1990v Olson1990 Olson1992 Olson1992C Olson1994) Ong19948 Ong19941 Ong1994 Ong1995 Ong1995 Onken1992 Onken1995Open Software Foundation1990 KOIOpenUniversityinassociationwiththeDepartmentforTradeandIndustry1990 Ortony1988 Ortony19944 others199338 Ott1997 Ousterhout1994f Ow199098 Pack199798 Pack19971 Pagerey1987 Pain19979k Panagos1986= Panagos1987j Panagos1987U Papalia1995N Pardridge19832 Pare1986 Paris1991 Park1987 Park19939R Parkin19988 Parkinson1980f Paskiewicz1993o Paskiewitz1992 Passey19877u Pastore1967 Pastore1991 Paterno1998jPaterson1994Q Patterson1998 Patterson1998w Patterson1999 Patterson2001 Patz19979@ Payne1986 Payne1990 Payne1991 Payne1991 Payne1993k Payne1995 Payne1996 Payne1998  Pearl19826 Pearson1993NV l PJ(f> l P-hv-hzB'Hn/.Jf n"l"Q#Pv#hzBgNTN^NuNV=| l P h/HnNAP l P=hBgHn?.. =_Bg=_ ng n?g nfn l PJ(f^BgBHnNBN9TBgB?.NB&N9THnN9BgB?.NB&N9TBgHn?.. =_Bg=_`Bn?.N9T0.N^NuNV=|Bg=_N<=@g"N<& ng?.?.9nN<.?<NT=@ ngB/-n np(\@R@nRn nJhgRn np(^Ю-@0,Hnn nHhHnNAP l=P?<0l/N\=@?.NT-@?.NrT n-P0.H"n lҠ. n0 n1n0npЬ"@0.H$l4jstv#(&b{3 )* Minsky, M. L.   1969  <Semantic Information Processing  & MIT Press   440|  0ISBN 13044-0 $35.00  TMMinton, S. Carbonell, J. G. Knoblock, C. A. Kuokka, D. R. Etzioni, O. Gil, Y. 1989@9Explanation-based learning: A problem solving perspectiveArtificial IntelligenceQ40 63-118 Minton, S. 1990PIQuantitative results concerning the utility of explanation-based learning0Artificial Intelligence42363-391 Mishra, P. K. 1984>7Crowding, stress and helping behaviour: A brief review.0)Asian Journal of Psychology and Education14 34-45 *$Misker, J. Taatgen, N. A. Aasman, J. 200181Validating a tool for simulating user interactionXRProceedings of ICCM - 2001 - Fourth International Conference on Cognitive Modeling  Mahwah, NJ Lawrence Erlbaum163-168"Mitchell, C. M. Saisi, D.L. 1987piUse of model-based qualitative icons and adaptive windows in workstations for supervisory control systems 82IEEE Transactions on Systems, Man, and Cybernetics SMC-17573-593 Miwa, K. Simon, H. A.0 1993Production system modeling to represent individual differences: Tradeoff between simplicity and accuracy in simulation of behavior @:Sloman, A. Hogg, D. Humphreys, G. Ramsay, A. Partridge, D.D=Prospects for artificial intelligence: Proceedings of AISB'93  Amsterdam  ISO Press158-167 Miyake, A. Shah, P.  1999VPModels of working memory: Mechanisms of active maintenance and executive control  New York, NY Cambridge University Press D. C. Moffat N. H. Frijda  2000"Functional models of emotion "G. Hatano N. Okada H. TanabeAffective minds  Amsterdam Elsevier 59-68Monk, A. 1998VOCyclic interaction: A unitary approach to intention, action and the environment Cognition68 95-110$Monk, A. Sasse, A. Crerar, A. 1999Affective computing: The role of emotion in human-computer interaction. British HCI Group one-day meeting in conjunction with University College London (collection of abstracts). www-users.york.ac.uk/~am1/affective.htmlMonk, A. 1999"Modelling cyclic interaction("Behaviour & Information Technology182127-139 "Monty, R. A. Senders, J. W. 19760)Eye movements and psychological processes  Hillsdale, NJ Lawrence ErlbaumMoore, C. M. Egeth, H. 1998@:How does feature-based attention affect visual processing?JDJournal of Experimental Psychology: Human Perception and Performance24 1296-1310 Moray, N.  19760)Attention, control and sampling behaviour $Sheridan, T. B. Johannsen, G.2,Monitoring behavior and supervisory control.  New York, NY  Plenum Press221-243 Moray, N.  1987@:Intelligent aids, mental models and the theory of machines2,International Journal of Man-Machine Studies27619-630 Mosteller, F. Tukey, J. W. 1977"Data analysis and regression  Reading, MA Addison-Wesley2,Motta, E. Eisenstadt, M. Pitman, K. West, M. 1988VOSupport for knowledge acquisition in the Knowledge Engineer's Assistant (KEATS)0Expert Systems5  6-28 Murphy, C. M. Wood, D. J. 1981RKLearning from pictures: The use of pictorial information by young children..(Journal of Experimental Child Psychology32279-297  Murray, D. M. 1987Embedded user models "Bullinger, H.-J. Shackel, B..(Human-Computer Interaction INTERACT'87229-235  Murray, D. M. 1988*$A survey of user cognitive modelling `YNational Physical Laboratory (NPL), Division of Information Technology and Computing (UK) Report DITC 92/87f |&=xh~H,Sanderson, P. M. James, J. M. Seidler, K. S.   1989  \@SHAPA: an interactive software environment for protocol analysis  & Ergonomics  32  11  & 1271-1302  01. talks about SHAPA  H+Sanderson, P. M. Verhage, A. G. Fuld, R. B.   1989  vZState-space and verbal protocol methods for studying the human operator in process control  & Ergonomics  32  11  & 1343-1372  lP1. analysis is into Ss (N=12) state-diagrams of knowledge of a heat bath problem  Sanderson, P. M. 1989pjThe human planning and scheduling role in advanced manufacturing systems: An emerging human factors domain Human Factors316635-666,Sanderson, P. M.   1990  ^BVerbal protocol analysis in three experimental domains using SHAPA  F)Human Factors Society 34th Annual Meeting  & 1280-1284.  P41. The domains are control of water bath temp task, giving navigational information to passive/active listener, control of city transport model (Broadbent type task with hidden simple equation). 2. all encoding done a-model, a task analysis 3. some coding (ie the navigation task) was done on discourse level  L/Sanderson, P. James, J. Watanabe, L. Holden, J.    1990  z^Human operator behavior in complex worlds: Rendering sequential records analytically tractable  ^A9th Annual Conference on Human Decision Making and Manual Control   * Varese, Italy  & Also available from the Engineering Psychology Research Laboratory, Department of Mechanical and Industrial Engineering, U. of Illinois, as technical report EPRL-90-12 1. review and overview of shapa 2. different view of tool types and PA based on exploratory view.  Sanderson, P. M. 1993voDesigning for simplicity of inference in exploratory sequential data analysis (ESDA) studies of process controlnhProceedings of the Fourth European Meeting on Cognitive Science Approaches to Process Control (CSAPC'93) Copenhagen, Denmark :3Symbion Conference Service, Copenhagen Science Park 20-47  August 25-27$Sanderson, P. M. Fisher, C. A. 199481Exploratory sequential data analysis: Foundations Human-Computer Interaction9 3&4251-3172+Sanderson, P. M. McNeese, M. D. Zaff, B. S. 1994`ZHandling complex real-world data with two cognitive engineering tools: COGENT and MacSHAPA:3Behavior Research Methods, Instruments, & Computers262117-124PJSanderson, P. M. Scott, J. Johnston, T. Mainzer, J. Watanabe, L. James, J. 1994PJMacSHAPA and the enterprise of exploratory sequential data analysis (ESDA)6/International Journal of Human-Computer Studies41633-681 6Sankoff, D. Kruskal, J. B.   1983  x\Time warps, string edits, and macromolecules: The theory and practice of sequence comparison  ,London, England)  *Addison-Wesley  Sattath, S. Tversky, A. 1977 Additive similarity trees Psychometrica 423319-345 Pamela Savage 19952,Designing a GUI for business telephone usersACM Interactions2g1 32-41a January 1995B;http://www.acm.org/interactions//vol2no1/feature/savage.htm$Schachter, S., & Singer, J. E 1962JDCognitive, social, and physiological determinants of emotional statePsychology Review695379-399tSchacter, D. L. 1983,%Feeling of knowing in episodic memory& Canadian Journal of Psychology>,9D1< 39-54Schacter0) used word paired associates 1) higher FOK (& knowing) for 20 min vs. 1 day delay, calibration not computed 2) study time (1.5. vs 5) did not => higher knowing and FOK, calibration not computed, but prob. equivalent in the 2 conditions 3) using extralist cues => poor FOK calibration & higher recall 4) did funny things with associative vs. rhyming cues accuracy (calibration?) is nil with tested with unstudied type of cue although knowing is actually somewhat higher " ]<p%C$>A=<Ln8% zu (m?2+Beard, D. V. Smith, D. K. Denelsbeck, K. M. 1996NHQuick and dirty GOMS: A case study of computed tomography interpretation Human-Computer Interaction11157-180 .'Becker, R.A. Chambers, J.M. Wilks, A.R. 1988The New S Language Pacific Grove, CA Wadsworth and Brooks/Cole The Blue Book  Beevis, D. 1999Analysis techniques for human-machine systems design: A report produced under the auspices of NATO Defense Research Group Panel 8} xqWright-Patterson Air Force Base, OH: Crew Systems Ergonomics/Human Systems Technology Information Analysis Center2,Belavkin, R. V. Ritter, F. E. Elliman, D. G. 1999piTowards including simple emotions in a cognitive architecture in order to fit children's behaviour betterJCProceedings of the 1999 Conference of the Cognitive Science Society  Mahwah, NJ Lawrence Erlbaum 784 Belavkin, R. Ritter, F. E. 2000,&Adding a theory of motivation to ACT-RL0Proceedings of the Seventh Annual ACT-R Workshop  :4Department of Psychology, Carnegie-Mellon University Pittsburgh, PA133-139 Belavkin, R. 2001.'The role of emotions in problem solvingF?AISB'01 Symposium on Emotion, Cognition and Affective Computing  Falmer, UK B;The Society for the Study of AI and Simulation of Behaviour 49-57ISBN 1 902956 19 7*#Belavkin, Roman V. Ritter, Frank E.s 2003F?The use of entropy for analysis and control of cognitive modelsa 2,Detje, Frank Dorner, Dietrich Schaub, Harald:4Fifth International Conference on Cognitive Modeling Bamberg, Germany 21-26>8Belavkin, R. V. Ritter, F. E. Elliman, D. G. Wood, D. J. submitted@LFA role of emotion in problem solving: Its use as a heuristic mechanism0*Belkin, N. J. Brooks, H. M. Daniels, P. J. 19874.Knowledge elicitation using discourse analysis2,International Journal of Man-Machine Studies27127-1440*Andy Belyavin Colin Sheppard Simon Russell 2000Final presentation on the Human Science/ Synthetic Environment Integration Demonstrator programme given to the TG5 customer on 14 March 2000. Bennett, P. A. 1997Applications of display prototyping and rehosting tools to the development of simulator, flight training device, and cockpit displays.6/Modeling and Simulation Technologies Conference&  Reston, VA 82American Institute of Aeronautics and Astronautics387-396Bentler, P. M. 1980B,19 90-137 Reder0*1) 'B4 answering a question, a person engages in an initial strategy selection phase in order to decide which strategy or sequence of strategies to use.' 2) Subjects are faster and more accurate when they can ignore the form of the question (ie gist mode) 3) 'People are sensitive to the parameters of the situation.., and can rapidly alter the strategy they employ.' 4) Strategy selection can be controlled on a task by task or trial by 5) For questions, estimating if you can answer is faster than answering, ~800ms 6) Time to estimate + answer time == time to answer 7) FOK in the framework of a semantic net, caused by activation of related nodes 8) priming parts of questions gives increases FOK 9) higher FOK correlation w/ knowing for question answering ~.80, b/c includes pos FOK instead of just neg. Reder, L. M. 19880)Strategic control of retrieval strategiesn0)The Psychology of Learning and Motivation22227-259 Reder&1) priming created spurious fok Reder, L. M. Ritter, F. E. 1988PIFeeling of knowing and strategy selection for solving arithmetic problems0*#Bulletin of the Psychonomic Society266495-496 Reder, L. M. Ritter, F. E. 1992b\What determines initial feeling of knowing? Familiarity with question terms, not the answer.HAJournal of Experimental Psychology : Learning, Memory & Cognition183n435-451  Regian, J. W. Shute, V. J. 1993>7Basic research on the pedagogy of automated instruction ("Towne, D. M. de Jong, T. Spada, H.,&Simulation-based experiential learning Berlin Springer-Verlag 122121-132Series F|* shows that dyads and triads learn as fast * disucssion helps men and women, but moves women up to near men in performance.B7Richman, H. B. Gobet, F. Staszewski, J. J. Simon, H. A. 1996^XPerceptual and memory processes in the acquisition of expert performance: The EPAM model Ericsson, K. A.The road to excellence  Mahwah, NJ Erlbaum6/Rieman, J. Lewis, C. Young, R. M. Polson, P. G. 1994"Why is a raven like a writing desk" Lessons in interface consistency and analogical reasoning from two cognitive architecturesPJProceedings of the CHI94 Conference on Human Factors in Computing Systems  New York, NY ACM438-444:(!Rieman, J. Young, R. M. Howes, A. 1996F@A dual-space model of iteratively deepening exploratory learning6/International Journal of Human-Computer Studies 44743-775 Rieman, J. 199660A field study of exploratory learning strategies4.ACM Transactions on Computer-Human Interaction3189-218 Ritter, Frank E. 1985nhSimulated Annealing as a Function Minimization Technique and Simulated Annealing as a Planning TechniquePresented as Comment(luncheon) seminars in a series on "Genetic and Other Probabilistic Algorithms" at BBN, and as a guest lectures to CS 113: Artificial Intelligence (graduate level course) at Brandeis University, October-November 1985.Ritter, Frank E. 1985(!ICAI Systems: TRIO & Quest at BBN September6/Presented to the New England Computer InstituteRitter, Frank E. 1985"TRIO Overview and Potentials JuneTMPresented to Major General Johnston, Director of Training, United States Army\Ritter, Frank E. 1986A Random walk through AI JuneZSPresented as part of the BBN Laboratories Physical Sciences Division Seminar Series\"Ritter, Frank E. Panagos, J. 1986HAThe Yale Loop package: A clause-based loop written in Common Lisp1 Available from CL-Utilities-request @cs.cmu.edu, or via anonymous FTP from ftp.cs.cmu.edu as file /afs/cs/user/mkant/Public/Lisp/code/iter/loop/yloop/yloop.clRitter, Frank E.1986 November $AI at Bolt, Beranek and NewmanF?8th Annual Conference of the AI Society of New England (AISNE)n Yale Universityk Ritter, Frank E. 1987D=OREO: Orienting Electrical Circuits for Qualitative Reasoningd BBN Laboratories July Technicalt 6560$submitted to AI and EducationrRitter, Frank E. 1987Symbolics product reviewTechnology and Learningo1d2hPJInvited product review mispublished as a letter to the editor March/April "Ritter, Frank E. Panagos, J. 1987TRIO User's Handbook BBN LaboratoriesJanuaryeTechnical Report 6206Ritter, Frank E. 1988&Extending the Seibel-Soar Model 2,Presented at the Soar V Workshop held at CMU1988 SeptemberRitter, Frank E. 1988.(ITS and Modeling the Seibel Task in Soar SeptembernpiInvited presentation at the Air Force Human Resources Lab, Cognitive Skills Assessment Branch, Brooks AFB$Ritter, Frank E. Feurzeig, W.l 1988*$Teaching real-time tactical thinking ,&Psotka, J. Massey, L. D. Mutter, S. A.4-Intelligent tutoring systems: Lessons learned  Hillsdale, NJQ Lawrence Erlbaum285-301Rj(x|jihn   D2H`(F?Rosch, E. Mervis, C. Gray, W. D. Johnson, D. M. Boyes-Braem, P. 1976*#Basic objects in natural categories Cognitive Psychology8382-439Rosenbaum, D. A. 1991Human motor control  San Diego Academic Press "Rosenbloom, P. S. Newell, A. 1982B;Learning by chunking, a production system model of practice @:Department of Computer Science, Carnegie-Mellon University SeptemberPTechnical Report CMU-CS-82-135Rosenbloom, P. S. 1983`YThe chunking of goal hierarchies: A model of practice and stimulus-response compatibility >7Computer Science Department, Carnegie-Mellon University PhD|uAlso available in Universal Chunking: The automatic generation of goal hierarchies, Kluwer Academic Publishers, 1986nRosenbloom, P. 1986& The chunking of goal hierarchies *#Laird, J. Rosenbloom, P. Newell, A.b\Universal subgoaling and chunking: The automatic generation and learning of goal hierarchies  Boston, MA KluwerD=Rosenbloom, P.S. Laird, J.E. Newell, A. Golding, A. Unruh, A. 1986*$Current research on learning in Soar 81Mitchell, T. M. Carbonell, J. G. Michalski, R. S.4-Machine Learning: A Guide To Current Research  Boston, MA Kluwer Academic Press290-297$note = "Soar #86.10"$Rosenbloom, P. S. Laird, J. E. 198682Mapping explanation-based generalization onto SoarHAProceedings of the National Conference on Artificial Intelligence561-567; Soar #86.80)Rosenbloom, P. S. Laird, J. E. Newell, A.  1987.'Meta-Level Architectures and Reflection Maes, P. Nardi, D.  Amsterdam & North Holland Publishing Company227-240"Rosenbloom, P. S. Newell, A. 1987B;Learning by chunking, a production system model of practice & Klahr, D. Langley, P. Neches, R.:4Production system models of learning and development  Cambridge, MAP  MIT Press221-286n Rosenbloom, P. S. Lee, S. 19890)Soar Arithmetic and Functional Capability4.Software provided with the Soar 5 distribution:4Rosenbloom, P. S. Laird, J. E. Newell, A. McCarl, R. 1991ZSA preliminary analysis of the Soar architecture as a basis for general intelligenceArtificial IntelligenceQ47 1-3&289-3250)Rosenbloom, P. S. Laird, J. E. Newell, A. 1992:4The Soar papers: Research on integrated intelligence  Cambridge, MAu  MIT Press,499-504~wRosenbloom, P. S. Johnson, W. L. Jones, R. M. Koss, F. Laird, J. E. Lehman, J. F. Rubinoff, R. Schwamb, K. B. Tambe, M.. 1994RKIntelligent automated agents for tactical air simulation: A progress reportf_Proceedings of the Fourth Conference on computer generated forces and behavioral representation  Gainsville U. of Central Florida P. Rosenbloom 1998Emotion in Soar&Proceedings of Soar Workshop 18  Vienna, VA Explore Reasoning Systems 26-28 Ross, B. H. 1987^WThis is like that: The use of earlier problems and the separation of simularity effectstHBJournal of Experimental Psychology: Learning, Memory and Cognition134629-639 Ross, B. H. Kennedy, P. T. 1990F@Generalizing from the use of earlier examples in problem solvingHBJournal of Experimental Psychology: Learning, Memory and Cognition161 42-55 Rouse, W. B. 1980>7Systems engineering models of human-machine interaction  New York, NY ElsevierRouse, W. B. Cody, W. 1989@9Designers criteria for choosing human performance models NGMcMillan, C. R. Beevis, D. Salas, E. Strub, M. Sutton, R. Van Breda, L.@9Applications of Human Performance Models to System Designx  New York, NY  Plenum Press204-2316/Rovee-Collier, C. Greisler, P. C. Earley, L. A. 1985F?Contextual determinates of retrieval in three-month-old infants Learning and Motivation16139-157Pused infant kicking measures, context was striped crib liner or not 1) younger infants (2 mo) infants forget faster than older (3 mo) infants, and encode fewer items (from gaze data), and sample less 2) distinctive context did not help learning, but context specific learning was not investigated. 3) also reported in Rovee-CollierES89 4) retrieval can act as a retrieval cue 5) lots of refs to other context dep. CR studies|ySjx"p Brown, J. S. Burton, R. B. 1980HBDiagnostic models for procedural bugs in basic mathematical skillsCognitive Science2155-192 Brown, C. R. 1986b[The verbal protocol analysis tool (VPA): Some formal methods for describing expert behavior2,2nd Symposium on Human Interface, Oct. 29-30  Tokyo, Japan561-5671. looked at a S fixing bugs, for .lt. 30 min. 2. N = 1 3. coded into 4 field type 4. ran under VM, and VMapl 5. tool (VPA) could move screen up, down, insert codes, quit. 6. a secretary was used to count the codes. 7. suggested comparing code counts to Zipf function (never gave a good reason, except it can give measure of information) 8. uses a bad layout, interlaced line of text and codes, codes occur about every 3 lines.nBrown, C. M. L. 19880*Human-Computer Interface Design Guidelines  Norwood, NJ Ablex\Brueker, J. Wielinga, B. 19892,Models of expertise in knowledge acquisition Guida, G. Tasso, C.$Topics in expert system design  North Holland & Elsevier Science Publishers B.V.265-295Bryan, W. L. Harter, N. 1897JDStudies in the physiology and psychology of the telegraphic languagePsychological Review4 27-53?tmBuchanan, B. G. Barstow, D. Bechtel, R. Bennet, J. Clancey, W. Kulikowski, C. Mitchell, T. M. Waterman, D. A.  1983$Constructing an expert system .(Hayes-Roth, F. Waterman, D. A. Lenat, D.Building Expert Systems  Reading, MA Addison-Wesley ch. 5&BuckinghamShum, S. Hammond, N. 1994haTransferring HCI modelling and design techniques to practitioners: A framework and empirical work4.People and Computers IX: Proceedings of HCI94 Cambridge University Press 21-36 Bukatko, D. Daehler, M. V. 1995Child Development Boston Houghton Mifflin Co..(Burke, E. K. Elliman, D. G. Weare, R. F. 1995LFA hybrid genetic algorithm for highly constrained timetabling problemsLEProceedings of the 6th International Conference on Genetic Algorithms Morgan Kaufman605-610:4Burton, A. M. Shadbolt, N. R. Rugg, G. Hedgecock, A. 1988@:Knowledge elicitation techniques in classification domainsProceedings of ECAI-88 85-90>8Paolo Busetta Nick Howden Ralph Rnnquist Andrew Hodgson 19994-Structuring BDI agents in functional clustershbProceedings of the Sixth International Workshop on Agent Technologies, Architectures and Languages149-1616/Busetta, P. Rnnquist, R. Hodgson, A. Lucas, A. 1999JCJACK intelligent agents - Components for intelligent agents in JAVAAgentLink News Letter2 Jan.,&www.agent-software.com/white-paper.pdf Butler, E. 20006/A dynamical study of the generalised delta ruleSchool of Psychology U. of Nottingham PhD NGByrne, Michael D. Wood, S. D. Sukaviriya, P. Foley, J. D. Kieras, D. E. 1994&Automating interface evaluationhPIProceedings of the CHI94 Conference on Human Factors in Computer Systems  New York, NY ACM232-237Byrne, Michael D. 1994leIntegrating, not debating, situated action and computational models: Taking the environment seriouslyPJProceedings of the 16th Annual Conference of the Cognitive Science Society  Hillsdale, NJ Lawrence Erlbaum118-123Byrne, Michael D.e 1997F?ACT-R Perceptual-Motor (ACT-R/PM) version 1.0b1: A users manualv Pittsburgh, PA \VPsychology Department, Carnegie-Mellon University. Available through act.psy.cmu.edu.$~1 ~|~f&BMx{j Norman, D. A. 1986Cognitive engineeringh "Norman, D. A. Draper, S. W. User Centred System Design  Hillsdale, NJ (!Lawrence Erlbaum Associates, Inc.  31-61  Norman, D. 1988(!The psychology of everyday things NY  Basic Books Norman Norman, D. A. 1990.'Approaches to the study of intelligenceArtificial Intelligence26}Also to be published in Kirsh, D. (Ed.) (in preparation). (Foundations of artificial intelligence.) Cambridge, MA: MIT Press.4 Norman, D. A. 1991.'Approaches to the study of intelligenceArtificial IntelligenceArtificial Intelligence47327-346 Nwana, H. S. 1996"Software agents: An overview& The Knowledge Engineering Review113205-244 O'Hara, K. Shadbolt, N. R. 1998\UGeneralised directive models: Integrating model development and knowledge acquisition6/International Journal of Human-Computer Studies49497-522O'Hara, K. Payne, S. J. 1998^WEffects of operator implementation cost on performance of problem solving and learning.Cognitive Psychology3534 70O'Rorke, P. Ortony, A. 1994Explaining emotionsCognitive Science182283-323 60O'Shea, T. Lehtinen, E. Ritter, F. Langley, P.in preparationleIn order to learn: How ordering effects in machine learning illuminates human learning and vice versa Oatley, K. 19922,Best laid schemes: The psychology of emotion Cambridge, England Cambridge University PressOdlyzko, A. M. 1995ZTTragic loss or good ridance? The impending demise of traditional scholarly journals4-Internation Journal of Human-Computer Studies4271-122. Also available through the electronic J. of Univ. Comp. Sci. pilot issue, 1994. Odlyzko, A._ 22 Apr 1996,&'On the road to electronic publishing'D= Red Rock Eater News Service, A note on electronic publishing Ohlsson, S. 1980{Competence and strategy in reasoning with common spatial concepts: A study of problem solving in a semantically rich domain  StockholmvpAlso published as #6 in the Working papers from the Cognitive seminar, Department of Psychology, U. of Stockholm Ohlsson, S. 1990xrTrace analysis and spatial reasoning: An example of intensive cognitive diagnosis and its implications for testing :4Frederiksen, N. Glaser, R. Lesgold, A. Shafto, M. G.>8Diagnostic monitoring of skill and knowledge acquisition  Hillsdale, NJn  LEA251-296,%1. methods are worth taking seriouslyPOhlsson, S. Rees, E. 1991XQThe function of conceptual understanding in the learning of arithmetic procedures Cognition and Instruction82103-179 Ohlsson, S. 1992\UArtificial instruction: A method for relating learning theory to instructional design Jones, M. Winne, P. H.@9Adaptive learning environments: Foundations and frontiers Berlin Springer-Verlag 55-83 Ohlsson, S. 1992Personal communicationOctober46025-50% of the model developing is in the testing(!Ohlsson, S. Ernst, A. M. Rees, E. 1992@9The cognitive complexity of learning and doing arithmetic4-Journal for Research in Mathematics Education235441-467 Ohlsson, S.` 1992JDThe learning curve for writing books: Evidence from Professor AsimovPsychological Science36`380-382  Ohlsson, S. 1995ZSAbstract computer models: Towards a new method for theorizing about adaptive agents Lavrac, N. Wrobel, S. 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A. 1991TMThe development of technology for collective training: SIMNET, a case history Human Factors333343-362 Altmann, E. 199282Toward Human-scale task performance: PreliminariesFebruary,%Talk presented at the Soar X workshop Altmann, E. 1993 log.el LFThe Soar group, School of Computer-Science, Carnegie-Mellon University82Extensions to GNU Emacs for logging keystroke data.(Altmann, E. M. Larkin, J. H. John, B. E. 1995PIDisplay navigation by an expert programmer: A preliminary model of memory $Katz, I. R. Mack, R. Marks, L.PJProceedings of the CHI95 Conference on Human Factors in Computing Systems  New York, NY ACM 3-10Altmann, E. M. 1996.(Episodic memory for external information4-Computer Science (Tech. Report CMU-CS-96-167) Pittsburgh, PA Carnegie-Mellon University 324t PhD Altmann, E. M. John, B. E. 1999@9Episodic indexing: A model of memory for attention eventsCognitive Science232117-156  Altmann, E. M. Gray, W. 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Johnson, K.lB7Guide to the Department of Psychology, U. of Nottinghamn Unpublished,10Ritter, Frank E. 1994$Guide to living in Nottingham} Unpublished\19Ritter, Frank E. 1994F@Whom don't you believe? Refereed publication on rec.humor.funny UnpublishedE10$Ritter, Frank E. Larkin, J. H. 1994BThe General Inquirer: A computer approach to content analysis>  * Cambridge-MA  * The MIT Press  (!Stork, A. Middlemass, J. Long, J. 1995Applying a structured method for usability engineering to domestic energy management user requirements: A successful case-study .(Kirby, M. A. R. Dix, A. J. Finlay, J. E.People and Computers X Cambridge (UK) Cambridge University Press Strauss, J. 1996PJEarly survey research on the Internet: Review, illustration and evaluation Presented at the American Marketing Association 1996 Winter Educators' Conference: Marketing Theory and Applications. http://WWWsb.ccsu.ctstateu.edu/xroads/strauss_paper.HTML (visited 6 March 1998)Strunk, W. White, E. 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