Journal of the Ergonomics Society of Korea (대한인간공학회지)

Ergonomics Society of Korea (대한인간공학회)
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Cognitive Analysis of User Interactions with UNIX and its Application to System Design

시스템 디자인을 위한 유닉스 사용성의 인지적 분석

  • 손영우 (연세대학교 심리학과) ;
  • 이지선 (연세대학교 심리학과) ;
  • 육형민 (연세대학교 인지과학 협동과정)
  • Published : 2003.08.01
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Abstract

This research extends a general theory of cognition to address cognitive constraints on complex command production and allows us to make system design recommendations. The research described in this paper addresses the cognitive origins of problems user have producing sequence-dependent command strings while interacting with the UNIX operating system. We describe an empirical and theoretical analysis of user difficulties, and then show how our analyses lead to design recommendations. In addition, we summarize results from testing the impact of our design recommendations on system usability

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References

  1. Anderson, J. R. (1988). The expert module. In M. C. Polson & J. J. Richardson (Eds.), Foundations of intelligent tutoring systems. (pp. 21-54) .Hillsdale. NJ: Erlbaum
  2. Anderson, J. R.. & Jeffries, R. (1985). Novice LISP errors: Undetected losses of information form working memory. Human-Computer Interaction. 1 133-161
  3. Bovair. S., Kieras. D.E.. & Polson, P.G. (1988).The acquisition and performance of text-editing skill production-system analysis. (Technical Report No. 28), University of Michigan. Ann Arbor
  4. Carroll. J. M., & McKendree, J. (1987, January). Interface design issues for advice-giving expert system Communications of the ACM, 30, 14-31
  5. Chi, M. T. H.. Feltovich. P. J., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121-152
  6. Doane. S. M., Pellegrino, J. W., & Klatzky R. L. (1990), Expertise in a computer operating system: Conceptualization and performance. Human-Computer Interaction, 5, 267-304
  7. Doane. S. M., McNamara, D. S.. Kintsoh, W., Polson. P. G.. & Clawson, D. (1992). Prompt comprehension in UNIX comm -and production. Memory and Cognition 20 (4), 327-343
  8. Doane. S. M.. Sohn, Y. W.. Adams. D.. & McNamara. D. S. (1994). Learning fro instruction: A comprehension-based approach. In Proceedings of the 16th Annual Conference of the Cognitive Science Society, 254-259. Atlanta, GA:Erlbaum
  9. Doane, S. M., & Sohn. Y. W., McNamara, D. S.. & Adams, D. (2000). Compre-hension-based skill acquisition. Cognitive Science, 24,1-52
  10. Draper. S. W. (1985). The nature of expertise in UNIX. In Proceedings of INTERACT'84 IFIP Conference on Human-Gomputer Interaction. 465-471, New York: Elsevier North-Holland
  11. Ericsson, K. A., & Kintsch, W. (1995). Longterm working memory. Psychological Review, 102, 211 -245
  12. 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
  13. Kintsch, W. (1988). The use of knowledge in discourse processing: A construction integration model. Psychological Review, 97, 163-182
  14. Kitaiima, M. & Polson, P.G. (1992). A computational model of skilled use of a graphical user interface. CHI 1992 Proceedings, 241-249
  15. Kitaiima, M. & Polson. P.G. (1995). A comprehension-based model of correct performance and errors in skilled, display-based, human- computer inter-action. Interna- tional Journal of Human- Computer Studies. 43. 65-99
  16. Larkin, J.. McDermott. J.. Simon. D. P. & Simon, H. A. (1980). Expert and nov-ice performance in solving physics problems. Science. 208 (20). 1335-1342
  17. Lewis. C., Polson. P., Wharton. C., & Rieman, J. (1990). Testing a Walk-through Methodology for Theory-Based Design of Walk-Up-and -Use Interface. CHI 1990 Proceedings,235-242
  18. Mannes. S. M., & Doane. S. M. (1991). A hybrid model of script generation: Or getting the best of both worlds. Connection Science, 3(1), 61-87
  19. Sohn, Y. W.. & Doane, S. M. (1997). Cognitive constraints on computer problem solving skills. Journal of Experimental Psychology:Applied, 3, 288-312
  20. VanLehn, K. (1988). Student modeling. In M. C. Polson & J. J. Richardson(Eds.), Foundations of intelligent tutoring systems. (pp. 55-76), Hillsdale. NJ: rlbaum