University of Tsukuba, Tsukuba, Japan.
Old Dominion University, Norfolk, USA.
Sci Rep. 2024 Oct 8;14(1):23405. doi: 10.1038/s41598-024-74244-4.
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.
现实工作环境要求操作人员在自动化系统的持续支持下执行多项任务。眼动通常被用作操作人员注意力的替代测量指标，但传统的汇总指标，如停留时间百分比，无法捕捉复杂视觉工作空间中注意力的动态转移。本研究使用注视转移熵分析对在受控的 MATB-II 任务环境中收集的眼动数据进行了分析。在研究中，人类受试者同时执行补偿跟踪任务、系统监控任务和通信任务。结果表明，当补偿跟踪任务需要更连续的监控时，注视转移熵和静止注视熵（衡量眼动随机性的指标）都会降低。研究结果表明，注视转移熵反映了执行动态操作任务的操作人员的注意力分配情况。
