Peebles, David and Cheng, Peter C. H. (2002) Extending task analytic models of graph-based reasoning: A cognitive model of problem solving with Cartesian graphs in ACT-R/PM. Cognitive Systems Research, 3 (1). pp. 77-86. ISSN 1389-0417
Restricted to Registered users only
Models of graph-based reasoning have typically accounted for the variation in problem solving performance with different graph types in terms of a task analysis of the problem relative to the particular visual properties of each graph type [e.g., Human Computer Interaction 8 (1993) 353; Proceedings of the Twenty-first Annual Conference of the Cognitive Science Society. Lawrence Erlbaum Associates, Mahwah, NJ (1999) 531]. This approach has been used to explain response time and accuracy differences in experimental situations where data are averaged over experimental conditions. An experiment is reported in which participants’ eye movements were recorded while they were solving various problems with different graph types. The eye movement data revealed fine grained fixation patterns that are not captured by current analyses based on optimal fixation sequences. It is argued that these patterns reveal the effects of working memory limitations during the time course of problem solving. An ACT-R/PM model of the experiment is described in which a similar pattern of eye fixations is produced as a natural consequence of the decay in activation of perceptual chunks over time.
|Additional Information:||UoA 23 (Computer Science and Informatics) © 2002 Elsevier Science B.V.|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
Q Science > QA Mathematics > QA76 Computer software
|Schools:||School of Human and Health Sciences|
School of Human and Health Sciences > Centre for Applied Psychological Research
Anderson, 1993. Anderson, J. R. (1993). Rules of the mind. Hillsdale, NJ: Lawrence Erlbaum Associates.
Anderson & Lebiere, 1998. Anderson J. R., & Lebiere C. (1998). The atomic components of thought. Mahwah, NJ: Lawrence Erlbaum Associates.
Byrne, 2001. M.D. Byrne , ACT-R/PM and menu selection: Applying a cognitive architecture to HCI. International Journal of Human-Computer Studies 55 (2001), pp. 41–84. Abstract | Abstract + References | PDF (1009 K) | View Record in Scopus | Cited By in Scopus
Byrne & Anderson, 1998. M.D. Byrne and J.R. Anderson , Perception and action. In: J.R. Anderson and C. Lebiere, Editors, The atomic components of thought, Lawrence Erlbaum Associates, Mahwah, NJ (1998).
Card et al., 1983. Card, S. K., Moran, T. P., & Newell, A. (1983). The psychology of human-computer interaction. Hillsdale, NJ: Lawrence Erlbaum Associates.
Carpenter & Shah, 1998. P.A. Carpenter and P. Shah , A model of the perceptual and conceptual processes in graph comprehension. Journal of Experimental Psychology: Applied 4 (1998), pp. 75–100. Abstract | Abstract + References | PDF (2047 K) | Full Text via CrossRef | View Record in Scopus | Cited By in Scopus
Fitts, 1954. P.M. Fitts , The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology 47 (1954), pp. 381–391. Full Text via CrossRef
Gray, 2000. W.D. Gray , The nature and processing of errors in interactive behaviour. Cognitive Science 11 (2000), pp. 205–248. SummaryPlus | Full Text + Links | PDF (418 K) | Full Text via CrossRef | View Record in Scopus | Cited By in Scopus
Gray & Altmann, 2001. W.D. Gray and E.M. Altmann , Cognitive modeling and human-computer interaction. In: W. Karwowski, Editor, International encyclopedia of ergonomics and human factors, Taylor & Francis Ltd, New York (2001).
John & Kieras, 1994. John, B. E., & Kieras, D. E. (1994). The GOMS family of analysis techniques: Tools for design and evaluation. Technical report CMU-HCII-94-106, Human-Computer Interaction Institute, Carnegie Mellon University.
Kieras & Meyer, 1997. D.E. Kieras and D.E. Meyer , An overview of the EPIC architecture for cognition and performance with application to human-computer interaction. Human-Computer Interaction 12 (1997), pp. 391–438. View Record in Scopus | Cited By in Scopus
Larkin & Simon, 1987. J.H. Larkin and H.A. Simon , Why a diagram is (sometimes) worth ten thousand words. Cognitive Science 11 (1987), pp. 65–100. Abstract | View Record in Scopus | Cited By in Scopus
Lohse, 1993. G.L. Lohse , A cognitive model for understanding graphical perception. Human-Computer Interaction 8 (1993), pp. 353–388. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus
Olson & Olson, 1990. J.R. Olson and G.M. Olson , The growth of cognitive modeling in human-computer interaction since GOMS. Human-Computer Interaction 5 (1990), pp. 221–265. View Record in Scopus | Cited By in Scopus
Peebles & Cheng, 2001. D. Peebles and P.C.-H. Cheng , Graph-based reasoning: From task analysis to cognitive explanation. In: Proceedings of the twenty-third annual conference of the cognitive science society, , Lawrence Erlbaum Associates, Mahwah, NJ (2001), pp. 762–767.
Peebles et al., 1999. D. Peebles, P.C.-H. Cheng and N. Shadbolt , Multiple processes in graph-based reasoning. In: Proceedings of the twenty-first annual conference of the cognitive science society, , Lawrence Erlbaum Associates, Mahwah, NJ (1999), pp. 531–536.
Savucci, 2001. D.D. Savucci , Predicting the effects of in-car interface use on driver performance: An integrated model approach. International Journal of Human-Computer Studies 55 (2001), pp. 85–107.
Schoelles & Gray, 2000. M.J. Schoelles and W.D. Gray , Argus Prime: Modelling emergent microstrategies in a complex simulated task environment. In: Proceedings of the third international conference on cognitive modeling, , Universal Press, Veenendal, NL (2000), pp. 260–270.
|Depositing User:||Sara Taylor|
|Date Deposited:||07 Jan 2008|
|Last Modified:||22 Dec 2010 13:14|
Downloads per month over past year
Repository Staff Only: item control page