ArticleScientific reports2024
Gaze transition entropy as a measure of attention allocation in a dynamic workspace involving automation.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Eye and Gaze Behavior During Human Disassembly Procedures: Effects of Task Conditions and Process Dynamics.Journal of eye movement research · 2026Article
- Structural Coupling Between Shannon Entropy and Dwell-Time Entropy Across Emotional and Safety-Critical Visual Tasks.Journal of eye movement research · 2026Article
- Gaze transition entropy and automation trust in a multitasking workspace.Scientific reports · 2026Article
- Beyond the first glance: How human presence enhances visual entropy and promotes spatial learning.PLoS computational biology · 2026Article
- Cognitive state monitoring for neuroadaptive information visualization.Frontiers in human neuroscience · 2026Review
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Authors and funding
6 authors.
Funding
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.
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Registered trials
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