Exploring the Relationship Between Drivers' Stationary Gaze Entropy and Situation Awareness in a Level-3 Automation Driving Simulation.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2024-09-01 Epub Date: 2024-08-29 DOI:10.1177/10711813241275910

Wen Ding, Yovela Murzello, Shi Cao, Siby Samuel

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Abstract

The transition period from automation to manual, known as the takeover process, presents challenges for drivers due to the deficiency in collecting requisite contextual information. The current study collected drivers' eye movement in a simulated takeover experiment, and their Situation Awareness (SA) was assessed using the Situation Awareness Global Assessment Technique (SAGAT) method. The drivers' Stationary Gaze Entropy (SGE) was calculated based on the percentages of time they spent on six pre-defined Areas of Interests (AOIs). Three critical time windows were extracted by using the takeover alert time spot and the hazard perceived time spot. The result indicated that drivers with higher SAGAT scores would spread their attention among multiple AOIs. Also, drivers' SGE and SA have a linear relationship only at the last time window (hazard perceived to the end) wherein SGE potentially functions as an evaluative metric for assessing SA in the future.

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三级自动驾驶仿真中驾驶员静止注视熵与态势感知的关系研究

从自动化到手动的过渡时期，也就是所谓的接管过程，由于缺乏收集必要的上下文信息，给司机带来了挑战。本研究在模拟接管实验中采集驾驶员眼动数据，采用态势感知全局评估技术（SAGAT）对驾驶员的态势感知（SA）进行评估。驾驶员的静止注视熵（SGE）是根据他们在六个预先定义的兴趣区域（aoi）上花费的时间百分比计算的。利用接管预警时间点和危险感知时间点分别提取了三个关键时间窗。结果表明，SAGAT得分较高的驾驶员会将注意力分散到多个aoi中。此外，驾驶员的SGE和SA仅在最后一个时间窗口（感知到的危险到最后）具有线性关系，其中SGE可能作为评估未来SA的评估指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting

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