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Cited by 689

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

An Overview of the EPIC Architecture for Cognition and Performance With Application to Human-Computer Interaction

Kieras, Davis E., Meyer, Davis E.·1997·Human–Computer Interaction
DOI 10.1207/s15327051hci1204_4
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Abstract

EPIC (Executive Process-Interactive Control) is a cognitive architecture especially suited for modeling human multimodal and multiple-task performance. The EPIC architecture includes peripheral sensory-motor processors surrounding a production-rule cognitive processor and is being used to construct precise computational models for a variety of human-computer interaction situations. We briefly describe some of these models to demonstrate how EPIC clarifies basic properties of human performance and provides usefully precise accounts of performance speed.

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Citations

Cites

Research works printed but not linked: 22

  1. Ballas, J. A., Heitmeyer, C. L. & Perez, M. A. (1992b). Evaluating two aspects of direct manipulation in advanced cockpits. Proceedings of the CHZ'92 Conference on Human Factors in Computing Systems, 127-134. New York: ACM. · DOI
  2. Bovair S., 1990, Human-Computer Interaction, 5, 1, 10.1207/s15327051hci0501_1 · DOI
  3. Card, S. K. (1984). Visual search of computer command menus. In H. Bouma & D. G. Bouwhuis (Eds.), Attention and performance X: Control of language processes (pp. 97-108). London: Lawrence Erlbaum Associates, Inc.
  4. Elkind, J. I., Card, S. K., Hochberg, J. & Huey, B. M. (Eds.). (1989). Human performance models for computer-aided engineering (National Research Council, Committee on Human Factors). Washington, DC: National Academy Press.
  5. Gopher, D. (1993). Attentional control: Acquisition and execution of attentional strategies. In D. E. Meyer & S. Kornblum (Eds.), Attention andperformance X I E Synergies in experimental psychology, artijkal intelligence, and cognitive neuroscience (pp. 299-322). Cambridge, MA: MIT Press.
  6. Gopher, D. & Donchin, E. (1986). Workload: An examination of the concept. In K. R. Boff, L. Kaufrnan, & J. P. Thomas (Eds.), Handbook ofperception and human performance, Kd. 11: Cognitivepro~es~es andperformance (pp. 41.1-41.49). New York: Wiley.
  7. Gray W. D., 1993, Human-Computer Interaction, 8, 237, 10.1207/s15327051hci0803_3 · DOI · Paper page
  8. Hallett, P. E. (1986). Eye movements. In K. R. Boff, L. Kaufman, & J. P. Thomas (Eds.), Handbook ofperception and humanperformance (Vol. 1, pp. 10.1-10.1 12). New York: Wiley.
  9. Hornof, A. J. & Kieras, D. E. (1997). Cognitive modeling reveals menu search is both random and systematic. Proceedings of the CHZ'97 Conference on Human Factors in Computing System, 107- 114. New York: ACM. · DOI · Paper page
  10. John B. E., 1996, Human-Computer Interaction, 17, 355
  11. Kieras, D. E. (1988). Towards a practical GOMS model methodology for user interface design. In M. Helander (Ed.), Handbook of human-conybuter interaction (pp. 135-158). Amsterdam: North-Holland Elsevier. · DOI · Paper page
  12. 10.1145/264645.264658 · DOI
  13. Kristofferson, A. B. (1967). Attention and psychophysical time. In A. F. Sanders (Ed.), Attention andpa$ormance (pp. 93-100). Amsterdam: North-Holland. · DOI
  14. Laird, J., Rosenbloom, P. & Newell, A. (1986). Universal subgoaling and chnking. Boston: Kluwer. · DOI
  15. Lee E., 1985, Human Factors, 27, 157, 10.1177/001872088502700203 · DOI
  16. Martin-Emerson, R. & Wickens, C. D. (1992). The vertical visual field and implications for the head-up display. Aocecdings of t h 36th Annual Symposium of the Human Factors Society, 1408- 1412. Santa Monica, CA: Human Factors Society. · DOI
  17. McMillan, G. R., Beevis, D., SaIas, E., Strub, M. H., Sutton, R. &Van Breda, L. (1989). Applications of human pejormance models to system design. New York: Plenum. · DOI
  18. Meyer D. E., 1997, Psychological Review, 704, 3, 10.1037/0033-295X.104.1.3 · DOI · Paper page
  19. Meyer D. E., 1997, Psychological Review, 704, 749, 10.1037/0033-295X.104.4.749 · DOI · Paper page
  20. Newell, A. (1990). Unifid theories of cognition. Cambridge, MA: Harvard University Press.
  21. Norman, D. A. & Shallice, T. (1986). Attention to action: Willed and automatic control of behavior. In R. J. Davidson, G. E. Schwartz, & D. Shapiro (Eds.), Comciousness and self-regulation (Vol. 4, pp. 1-18). New York: Plenum.
  22. Rosenbaum, D. A. (1980). Human movement initiation: Specification of arm, direction, and extent. journal ofExperimenta1 Psychology: General, 709,475-495. · DOI

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Metadata

Authors
Kieras, D. E., & Meyer, D. E.
Venue
Human–Computer Interaction
Publisher
Informa UK Limited
Published
1997-12
Volume
12
Issue
4
Pages
391-438
ISSN
  • 0737-0024 (ISSN-L)
  • 1532-7051
DOI
10.1207/s15327051hci1204_4
OpenAlex
W2021898394
Cited by
689
References
2
FWCI
14.74
Type
journal article
Language
en
Open access
closed

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