Abstract
For years now, most researchers modeling physical and cognitive behavior have focused on one area or the other, dividing human performance into “neck up” and “neck down.” But the current state of the art in both areas has advanced to the point that researchers should begin considering how the two areas interact to produce behaviors. In light of this, some common terms are defined so researchers working in different disciplines and application areas can understand each other better. Second, a crude “roadmap” is presented to suggest areas of interaction where researchers developing digital human form and other physical performance models might be able to collaborate with researchers developing cognitive models of human performance in order to advance the “state-of-the-art” in replicating and predicting human performance.
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Pew, R.W., Mavor, A.: Modeling human and organizational behavior: Applications to military simulations. National Academy Press, Washington DC (1998)
Baron, S., Kruser, D., Huey, B. (eds.): Quantitative modeling of human performance in complex, dynamic systems. National Academy Press, Washington, D.C (1990)
Elkind, J.I., Card, S.K., Hochberg, J., Huey, B.M. (eds.): Human performance models for computer-aided engineering. Academic Press, Inc., San Diego (1990)
Newell, A.: Unified theories of cognition. Harvard University Press, Cambridge, MA (1990)
Anderson, J.R., Lebiere, C. (eds.): Atomic components of thought. Lawrence Erlbaum, Hillsdale, NJ (1998)
Laughery, K., Corker, K.: Computer modeling and simulation. In: Salvendy, G. (ed.) Handbook of Human Factors and Ergonomics, 2nd edn., Wiley, New York (1997)
Kieras, D.E., Meyer, D.E.: An overview of the EPIC architecture for cognition and performance with application to human-computer interaction. Human-Computer Interaction 12(4), 391–438 (1997)
Liu, Y., Feyen, R., Tsimhoni, O.: Queuing network-model human processor (QN-MHP): A computational architecture for multi-task performance in human-machine systems. ACM Transactions on Computer-Human Interaction 13(1), 37–70 (2006)
Sheridan, T.: Humans and automation: System design and research issues. HFES Publications, Santa Monica, CA (2002)
Baron. et al. (1990)
Gluck, K.A., Pew, R.W.: Modeling human behavior with integrated architectures: Comparison, evaluation, and validation. Lawrence Erlbaum, Hillsdale, NJ (2005)
Lane, N.E., Strieb, M.I., Glenn, T.A., Wherry, P.A.: The human operator simulator: An overview. In: Moraal, J., Kraiss, K.F. (eds.) Manned System Design: Methods, Equipment, and Applications, Plenum Press, New York (1981)
Laughery, Corker (1997)
Bernard, M., Xavier, P., Wolfenbarger, P., Hart, D., Waymire, R., Glickman, M., Gardner, M.: Psychologically plausible cognitive models for simulating interactive human behaviors. In: Proceedings of the 49th Annual Meeting of the Human Factors and Ergonomics Society, 2005, pp. 1205–1210 (2005)
Van Eerde, W., Thierry, H.: Vroom’s expectancy models and work-related criteria: A meta-analysis. Journal of Applied Psychology 81(5), 575–586 (1996)
Vroom, V.: Work and motivation. Wiley, New York (1964)
Kernan, M.C., Lord, R.G.: Effects of valence, expectancies, and goal performance discrepancies in single and multiple goal environments. Journal of Applied Psychology 75(2), 194–203 (1990)
Klein, G.A.: Recognition-primed decisions. Advances in man-machine systems research 5, 47–92 (1989)
Gray, W.D., Boehm-Davis, D.A.: Milliseconds matter: an introduction to microstrategies and to their use in describing and predicting interactive behavior. Journal of Experiment Psychology: Applied 6(4), 322–335 (2000)
Schmorrow, D.: Foundations of augmented cognition. Lawrence Erlbaum, Hillsdale, NJ (2005)
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Feyen, R.G. (2007). Bridging the Gap: Exploring Interactions Between Digital Human Models and Cognitive Models. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2007. Lecture Notes in Computer Science, vol 4561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73321-8_44
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DOI: https://doi.org/10.1007/978-3-540-73321-8_44
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