Cognitive strategies and eye movements for searching hierarchical computer displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Handbook of Usability TestingXXX: Howto Plan, Design, and Conduct Effective Tests
Handbook of Usability TestingXXX: Howto Plan, Design, and Conduct Effective Tests
An Economical Approach to Usability Testing
COMPSAC '09 Proceedings of the 2009 33rd Annual IEEE International Computer Software and Applications Conference - Volume 01
Identifying usability issues via algorithmic detection of excessive visual search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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This paper presents an objective evaluation of several methods for the automated classification of excessive visual search, a technique which has the potential to aid in the identification of usability problems during software usability testing. Excessive visual search was identified by a number of eye movement metrics, including: fixation count, saccade amplitude, convex hull area, scanpath inflections, scanpath length, and scanpath duration. The excessive search intervals identified by each algorithm were compared to those produced by manual classification. The results indicate that automated classification can be successfully employed to substantially reduce the amount of recorded data reviewed during usability testing, with relatively little loss in accuracy.