Using Eye Movements to Classify Search Strategies

Author:

Crosby Martha E.1,Peterson W. Wesley1

Affiliation:

1. University of Hawaii Honolulu, Hawaii

Abstract

This paper describes a study which employed eye tracking to investigate visually searching lists. An experiment was designed to test if “cognitive style” influences search strategies. We examined the search patterns of subjects as they viewed lists of sorted and randomly ordered columns. We found that cognitive style was a good predictor of the scanning strategies of ordered lists. For the unordered lists, efficient, systematic searching was performed by college students but not by high school students.

Publisher

SAGE Publications

Subject

General Medicine

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data;User Modeling and User-Adapted Interaction;2023-07-31

2. Summary of the Sixth Edition of the International Workshop on Eye Movements in Programming;ACM SIGSOFT Software Engineering Notes;2019-11-14

3. Using Eye Gaze Data and Visual Activities to Infer Human Cognitive Styles;Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization;2017-07-09

4. Experiencing Early User Interfaces;Design, User Experience, and Usability: Users and Interactions;2015

5. Contribution of Biosensors to Enhancing Performance for Users with Special Needs;Foundations of Augmented Cognition. Advancing Human Performance and Decision-Making through Adaptive Systems;2014

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