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