| Cognitive modeling demonstrates how people use anticipated location knowledge of menu items |
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Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI conference on Human factors in computing systems: the CHI is the limit
table of contents
Pittsburgh, Pennsylvania, United States
Pages: 410 - 417
Year of Publication: 1999
ISBN:0-201-48559-1
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Authors
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Anthony J. Hornof
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Artificial Intelligence Laboratory, Electrical Engineering & Computer Science Department, University of Michigan, 1101 Beal Avenue, Ann Arbor, MI
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David E. Kieras
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Artificial Intelligence Laboratory, Electrical Engineering & Computer Science Department, University of Michigan, 1101 Beal Avenue, Ann Arbor, MI
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| Bibliometrics |
Downloads (6 Weeks): 9, Downloads (12 Months): 79, Citation Count: 7
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ABSTRACT
This research presents cognitive models of a person selecting an
item from a familiar, ordered, pull-down menu. Two different models
provide a good fit with human data and thus two different possible
explanations for the low- level cognitive processes involved in the
task. Both models assert that people make an initial eye and hand
movement to an anticipated target location without waiting for the
menu to appear. The first model asserts that a person knows the
exact location of the target item before the menu appears, but the
model uses nonstandard Fitts law coefficients to predict mouse
pointing time. The second model asserts that a person would only
know the approximate location of the target item, and the model
uses Fitts law coefficients better supported by the literature.
This research demonstrates that people can develop considerable
knowledge of locations in a visual task environment, and that more
work regarding Fitts law is needed.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Abrams, R. A., Meyer, D. E., & Kornblum, S. (1989). Speed and accuracy of saccadic eye movements: Characteristics of impulse variability in the oculomotor system. Journal of Experimental Psychology: Human Perception and Performance, 15(3), 529-543.
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Anderson, J. R. (1993). Rules of the mind. Hillsdale, NJ: Erlbaum.
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Bovair, S., Kieras, D. E., & Polson, P. G. (1990). The acquisition and performance of text editing skill: A cognitive complexity analysis. Human-Computer Interaction, 5, 1-48.
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Han, S. H., Jorna, G. C., Miller, R. H., & Tan, K. C. (1990). A comparison of four input devices for the Macintosh interface. Proceedings of the Human Factors Society 34th Annual Meeting, Santa Monica, CA: Human Factors Society, 267-271.
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Kieras, D. E., & Meyer, D. E. (1997). An overview of the EPIC architecture for cognition and performance with application to human-computer interaction. Human-Computer Interaction, 12(4), 391-438.
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I. Perlman, G. (1984). Making the right choices with menus. Proceedings of Interact '84, Elsevier Science Publishers, 317-321.
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Rosenbaum, D. A. (1991). Human motor control. New York: Academic Press.
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Walker, N., Meyer, D. E., & Smelcer, J. B. (1993). Spatial and temporal characteristics ofrapid cursorpositioning movements with electromechanical mice in human-computer interaction. Human Factors, 35(3), 431-458.
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Interaction styles (e.g., commands, menus, forms, direct manipulation)
Additional Classification:
I.
Computing Methodologies
I.6
SIMULATION AND MODELING
General Terms:
Design,
Human Factors,
Theory
Keywords:
Fitts' law,
cognitive models,
menus,
visual search
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