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Cognitive modeling demonstrates how people use anticipated location knowledge of menu items
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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
Authors
Anthony J. Hornof  Artificial Intelligence Laboratory, Electrical Engineering & Computer Science Department, University of Michigan, 1101 Beal Avenue, Ann Arbor, MI
David E. Kieras  Artificial Intelligence Laboratory, Electrical Engineering & Computer Science Department, University of Michigan, 1101 Beal Avenue, Ann Arbor, MI
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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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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Collaborative Colleagues:
Anthony J. Hornof: colleagues
David E. Kieras: colleagues