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Gaze transition entropy as a measure of attention allocation in a dynamic workspace involving automation
Cui, Zixin Sato, Tetsuya Jackson, Austin Jayarathna, Sampath Itoh, Makoto Yamani, Yusuke
Cui, Zixin
Sato, Tetsuya
Jackson, Austin
Jayarathna, Sampath
Itoh, Makoto
Yamani, Yusuke
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Time Period
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Original Date
Digitization Date
Issue Date
2024-10-08
Type
Article
Genre
Keywords
Gaze transition entropy,Attention allocation,Automation
Subjects (LCSH)
Citation
Cui, Z., Sato, T., Jackson, A. et al. Gaze transition entropy as a measure of attention allocation in a dynamic workspace involving automation. Sci Rep 14, 23405 (2024). https://doi.org/10.1038/s41598-024-74244-4
Abstract
Real-world work environments require operators to perform multiple tasks with continual support from an automated system. Eye movement is often used as a surrogate measure of operator attention, yet conventional summary measures such as percent dwell time do not capture dynamic transitions of attention in complex visual workspace. This study analyzed eye movement data collected in a controlled a MATB-II task environment using gaze transition entropy analysis. In the study, human subjects performed a compensatory tracking task, a system monitoring task, and a communication task concurrently. The results indicate that both gaze transition entropy and stationary gaze entropy, measures of randomness in eye movements, decrease when the compensatory tracking task required more continuous monitoring. The findings imply that gaze transition entropy reflects attention allocation of operators performing dynamic operational tasks consistently.
Table of Contents
Description
Publisher
Nature Portfolio
Journal
Scientific Reports
Book Title
Series
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
ISSN
2045-2322