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Mental Models and the Acquisition of Expert Knowledge

  • Chapter
The Psychology of Expertise

Abstract

There is a well-known fable about six learned blind men and an elephant. In this fable, each blind man encounters the elephant from a different perspective and develops his own opinion as to the nature of this beast: One grabs his ear and thinks it is a fan, another feels his tail and believes it to be a rope, and so on. The fable concludes with each blind man steadfastly holding his own narrow opinion. Among the many metaphorical elephants in cognitive science, one that stands out is the concept mental model. In this paper we examine this elephant by exploring the multiplicity of claims made about mental models. We do not pretend to be any less blind than other researchers who have tackled these problems, nor do we claim to have the only answers to many of the questions we raise. What we hope is that by taking a fresh look at mental models research we can provide some unification of concepts and point to promising methodologies and applications. We hope that by examining the issues surrounding mental models we raise the awareness of those who would try to use mental models in construction of knowledge-based systems (see Davis, 1982).

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References

  • Anderson, J. R. (1987). Skill acquisition: Compilation of weak-method problem solutions. Psychological Review, 94, 192–210.

    Article  Google Scholar 

  • Ashby, W. R. (1956). Introduction to cybernetics. London: Chapman and Hall.

    Google Scholar 

  • Bainbridge, L. (1979). Verbal reports as evidence of the process operator’s knowledge. International Journal of Man-Machine Studies,11,411–436.

    Article  Google Scholar 

  • Bainbridge, L. (1981). Mathematical equations or processing routines. In J. Rasmussen & W. B. Rouse (Eds.), Human detection and diagnosis of system failures (pp. 259–286). New York: Plenum.

    Google Scholar 

  • Bainbridge, L. (1986). Asking questions and accessing knowledge. Future Computing Systems, 1, 143–149.

    Google Scholar 

  • Barnett, B. (1989). Information processing components and structural knowledge representations in pilots’ judgments. Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign, Champaign, IL.

    Google Scholar 

  • Bower, G. H., Clark, M. C., Lesgold, A. M., & Winzenz, D. (1969). Hierarchical retrieval schemes in recall of categorized word lists. Journal of Verbal Learning and Verbal Behavior, 8, 323–343.

    Article  Google Scholar 

  • Brown, J. S., & de Kleer, J. (1981). Mental models of physical mechanisms and their acquisition. In J. R. Anderson (Ed.), Cognitive skills and their acquisition (pp. 285–308). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Carroll, J. M., & Olson, J. R. (1988). Mental models in human-computer interaction. In M. Helander (Ed.), Handbook of human-computer interaction (pp. 45–66). New York: North-Holland.

    Google Scholar 

  • Carroll, J. M., & Thomas, J. C. (1982). Metaphor and the cognitive representation of computing systems. IEEE Transactions on Systems, Man, and Cybernetics, 12, 107–116.

    Article  Google Scholar 

  • Clement, J. (1988). Observed methods for generating analogies in scientific problem solving. Cognitive Science, 12, 563–586.

    Article  Google Scholar 

  • Collins, A., & Gentner, D. (1986). How people construct mental models. In D. Holland & N. Quinn (Eds.), Cultural models in language and thought (pp. 243–265). Cambridge: Cambridge University Press.

    Google Scholar 

  • Conant, R. C., & Ashby, W. R. (1970). Every good regulator of a system must be a model of that system. International Journal of Systems Science, 1, 89–97.

    Article  Google Scholar 

  • Cooke, N. M., & Schvaneveldt, R. (1988). Effects of computer programming experience on network representations of abstract programming concepts. International Journal of Man-Machine Studies, 29, 407–427.

    Article  Google Scholar 

  • Curry, R. E. (1981). A model of human fault detection for computer dynamic processes. In J. Rasmussen & W. B. Rouse (Eds.), Human detection and diagnosis of system failures (pp. 171–183). New York: Plenum.

    Google Scholar 

  • Davis, R. E. (1982). Expert systems: Where are we? And where do we go from here? (AI Memo #665) Cambridge, MA: MIT AI Lab.

    Google Scholar 

  • de Kleer, J., & Brown, J. S. (1983). Assumptions and ambiguities in mechanistic mental models. In D. Gentner & A. Stevens (Eds.), Mental models (pp. 155–190). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Dreyfus, H. L., & Dreyfus, S. E. (1986). Mind over machine. New York: Macmillan.

    Google Scholar 

  • Engelbeck, G. (1989). The acquisition and retention of a cognitive skill. Unpublished doctoral clissertation, University of Colorado at Boulder, Boulder, CO.

    Google Scholar 

  • Ericsson, K. A., & Simon, H. A. (1984). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.

    Google Scholar 

  • Forbus, K., & Gentner, D. (1986). Learning physical domains: Towards a theoretical framework. In R. M. Michalski, J. Carbonell, & T. Mitchell (Eds.), Machine learning: An artificial intelligence approach (Vol. 3, pp. 311–348). Los Altos, CA: Morgan Kaufmann.

    Google Scholar 

  • Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, 10, 157–170.

    Google Scholar 

  • Gentner, D. (1989). The mechanisms of analogical learning. In S. Vosniadou & A. Ortony (Eds.) Similarity and analogical reasoning (pp. 199–241). London: Cambridge University Press.

    Chapter  Google Scholar 

  • Gentner, D., & Gentner, D. R. (1983). Flowing waters or teeming crowds: Mental models of electricity. In D. Gentner & A. Stevens (Eds.), Mental models (pp. 99–129). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Gentner, D., & Landers, R. (1985, November). Analogical reminding: A good match is hard to find. Proceedings of the International Conference on Systems, Man and Cybernetics (pp. 607–613).

    Google Scholar 

  • Gentner, D., & Toupin, C. (1986). Systematicity and surface similarity in the development of analogy. Cognitive Science, 10, 277–300.

    Article  Google Scholar 

  • Halasz, F., & Moran, T. P. (1982). Analogy considered harmful. Human Factors in Computing Systems Proceedings. Washington, DC: National Bureau of Standards.

    Google Scholar 

  • Halasz, F., & Moran, T. P. (1983). Mental models and problem solving in using a calculator. Proceedings of the CHI ‘83 Conference on Human Factors in Computer Systems (pp. 212–216).

    Chapter  Google Scholar 

  • Hanisch, K., Kramer, A. F., Huhn, C., & Schumacher, R. (1988). Novice-expert differences in the cognitive representation of system features: Mental models and verbalizable knowledge. Proceedings of the 32nd Annual Meeting of the Human Factors Society (pp. 219–223).

    Google Scholar 

  • Hinsley, D. A., Hayes, J. R., & Simon, H. A. (1977). From words to equations: Meaning and representation in algebra and word problems. In M. A. Just & P. A. Carpenter (Eds.), Cognitive processes in comprehension (pp. 62–68). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Hintzman, D. (1986). “Schema abstraction” in a multiple-trace memory model. Psychological Review, 93, 411–428.

    Article  Google Scholar 

  • Hoffman, R. R. (1987). The problem of extracting the knowledge of experts from the perspective of experimental psychology. AI Magazine, 8, 53–67.

    Google Scholar 

  • Hoffman, R. R., Cochran, E. L., & Nead, J. M. (1989). Cognitive metaphors in experimental psychology. In D. Leary (Ed.), Metaphors in the history of psychology. Cambridge: Cambridge University Press.

    Google Scholar 

  • Hoffman, R. R., & Nead, J. M. (1983). General contextualism, ecological science, and cognitive research. The Journal of Mind and Behavior, 4, 507–561.

    Google Scholar 

  • Holland, J., Holyoak, K. J., Nisbett, R. E., & Thagard, P. (1986). Induction: Processes of inference learning, and discovery. Cambridge, MA: MIT Press.

    Google Scholar 

  • Jagacinski, R. J., & Miller, R. A. (1978). Describing the human operator’s internal model of a dynamic system. Human Factors, 20, 425–433.

    Google Scholar 

  • Kempton, W. (1986). Two theories of home heat control. Cognitive Science, 10, 75–90.

    Article  Google Scholar 

  • Kessel, C. J., & Wickens, C. D. (1982). The transfer of failure-detection skills between monitoring and controlling dynamic systems. Human Factors, 24, 49–60.

    Google Scholar 

  • Kieras, D. E., & Bovair, S. (1984). The role of a mental model in learning to operate a device. Cognitive Science, 8, 255–274.

    Article  Google Scholar 

  • Kieras, D. E., & Polson, P. G. (1985). An approach to the formal analysis of user complexity. International Journal of Man-Machine Studies,22, 365–394.

    Article  Google Scholar 

  • Macauley, D. (1988). The way things work. Boston, MA: Houghton Mifflin

    Google Scholar 

  • Mayer, R. E. (1976). Some conditions of meaningful learning for computer programming: Advance organizers and subject control of frame order. Journal of Educational Psychology, 67, 725–734.

    Article  Google Scholar 

  • Mayer, R. E., & Bayman, P. (1981). Psychology of calculator languages: A framework for describing differences in users’ knowledge. Communications of the ACM, 24, 511–520.

    Article  Google Scholar 

  • McCloskey, M. (1983). Naive theories of motion. In D. Gentner & A. Stevens (Eds.), Mental models (pp. 299–324). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Medin, D., & Ortony, A. (1989). Psychological essentialism. In S. Vosniadou & A. Ortony (Eds.), Similarity and analogical reasoning (pp. 179–196). London: Cambridge University Press.

    Chapter  Google Scholar 

  • Medin, D., & Schaffer, M. (1978). A context theory of classification learning. Psychological Review, 85, 207–238.

    Article  Google Scholar 

  • Moray, N. (1986). Intelligent decision aids, mental models and the theory of machines. In E. Hollnagel, G. Mancini, & D. D. Woods (Eds.), Intelligent decision support in process environments (pp. 273–291). New York: Springer-Verlag.

    Google Scholar 

  • Moray, N. (1988). A lattice theory of mental models of complex systems (Report No. EPRL-88–08). Engineering Psychology Research Laboratory, University of Illinois.

    Google Scholar 

  • Moray, N., & Reeves, T. (1987). Hunting the homomorph: A theory of mental models and a method by which they may be identified. Proceedings of the International Conference on Systems, Man, and Cybernetics (pp. 594–597).

    Google Scholar 

  • Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: Verbal reports on mental processes. Psychological review, 84, 231–259.

    Article  Google Scholar 

  • Norman, D. A. (1983). Some observations on mental models. In D. Gentner & A. Stevens (Eds.), Mental models (pp. 7–14). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Norman, D. A. (1986). Cognitive engineering. In D. Norman & S. Draper (Eds.), User-centered system design: New perspectives on human-computer interaction (pp. 31–61). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Norman, D. A. (1988). The psychology of everyday things. New York: Basic Books.

    Google Scholar 

  • Nosofsky, R. (1985). Choice, similarity, and the context theory of classification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 104–114.

    Article  Google Scholar 

  • Raajmakers, J. G. W., & Shiffrin, R. M. (1981). Search of Associative Memory. Psychological Review, 88, 93–134.

    Article  Google Scholar 

  • Rasmussen, J. (1986). Human information processing in man-machine systems. New York: North-Holland.

    Google Scholar 

  • Ross, B. (1984). Remindings and their effects in learning a cognitive skill. Cognitive Psychology, 16, 371–416.

    Article  PubMed  Google Scholar 

  • Rouse, W. B., & Morris, N. M. (1986). On looking into the black box: Prospects and limits in the search for mental models. Psychological Bulletin, 100, 349–363.

    Article  Google Scholar 

  • Rumelhart, D. E., & Norman, D. A. (1981). Analogical processes in learning. In J. R. Anderson (Ed.), Cognitive skills and their acquisition (pp. 335–359). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Rumelhart, D. E., & Ortony, A. (1977). The representation of knowledge in memory. In R. C. Anderson, R. J. Spiro, & W. E. Montague (Eds.), Schooling and the acquisition of knowledge (pp. 99–135). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Schumacher, R. M. (1987). Acquisition of mental models. In J. Flach (Ed.), Proceedings of the Fourth Annual Mid-Central Human Factors! Ergonomics Conference (pp. 142–148). New York: Spring-Verlag.

    Google Scholar 

  • Schumacher, R. M. (1989). Factors affecting access to analogical similarity. Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign, Champaign, IL.

    Google Scholar 

  • Schumacher, R. M., & Gentner, D. (1988). Transfer of training as processing routines. IEEE Transactions on Systems, Man, and Cybernetics, 18, 592–600.

    Article  Google Scholar 

  • Schvaneveldt, R., Durso, F., Goldsmith, T., Breen, T., Cooke, N., Tucker, R., & DeMaio, J. (1985). Measuring the structure of expertise. International Journal of Man-Machine Studies, 23, 699–728.

    Article  Google Scholar 

  • Tversky, A. (1977). Features of similarity. Psychological Review, 84, 327–352.

    Article  Google Scholar 

  • Tversky, A., & Gati, I. (1982). Separability, similarity and the triangle inequality. Psychological Review,89,123–154.

    Article  PubMed  Google Scholar 

  • Veldehuyzen, W., & Stassen, H. G. (1977). The internal model concept: An application to modeling human control of large ships. Human Factors, 19, 367–380.

    Google Scholar 

  • Wickens, C. D. (1984). Engineering psychology and human performance. Columbus, OH: Charles Merrill.

    Google Scholar 

  • Wickens, C. D., & Kessel, C. (1979). The effects of participatory mode and task workload on the detection of dynamic system failures. IEEE Transactions on Systems, Man and Cybernetics, 13, 24–31.

    Article  Google Scholar 

  • Wickens, C. D., & Kessel, C. (1980). Processing resource demands of failure detection in dynamic systems. Journal of Experimental Psychology: Human Perception and Performance, 6, 564–577.

    Article  PubMed  Google Scholar 

  • Wickens, C. D., & Kessel, C. (1981). Failure detection in dynamic systems. In J. Rasmussen & W. B. Rouse (Eds.), Human detection and diagnosis of system failures (pp. 155–169). New York: Plenum.

    Google Scholar 

  • Williams, M. D., Hollan, S. D., & Stevens, A. (1983). Human reasoning about a simple physical system. In D. Gentner & A. Stevens (Eds.), Mental models (pp. 131–154). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Young, R. M. (1983). Surrogates and mappings: Two kinds of conceptual models for interactive devices. In D. Gentner & A. Stevens (Eds.), Mental models (pp. 35–52). Hillsdale, NJ: Erlbaum.

    Google Scholar 

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Schumacher, R.M., Czerwinski, M.P. (1992). Mental Models and the Acquisition of Expert Knowledge. In: Hoffman, R.R. (eds) The Psychology of Expertise. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9733-5_4

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  • DOI: https://doi.org/10.1007/978-1-4613-9733-5_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-9735-9

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