In driving tasks, the driver's situation awareness of the surrounding scenario is crucial for safety driving. However, current methods of measuring situation awareness mostly rely on subjective questionnaires, which interrupt tasks and lack non-intrusive quantification. To address this issue, our study utilizes objective gaze motion data to provide an interference-free quantification method for situation awareness. Three quantitative scores are proposed to represent three different levels of awareness: perception, comprehension, and projection, and an overall score of situation awareness is also proposed based on above three scores. To validate our findings, we conducted experiments where subjects performed driving tasks in a virtual reality simulated environment. All the four proposed situation awareness scores have clearly shown a significant correlation with driving performance. The proposed not only illuminates a new path for understanding and evaluating the situation awareness but also offers a satisfying proxy for driving performance.

翻译：在驾驶任务中，驾驶员对周围场景的情境意识对安全驾驶至关重要。然而，当前测量情境意识的方法大多依赖主观问卷，这种方式会中断任务执行且缺乏非侵入式量化手段。为解决这一问题，本研究利用客观眼动数据，提出了一种无干扰的情境意识量化方法。我们设计了三个定量评分分别对应三个不同层次的意识水平：感知、理解与预测，并基于这三个评分进一步提出了情境意识的综合评分。为验证研究结果，我们开展了实验，要求被试在虚拟现实模拟环境中完成驾驶任务。所有四项情境意识评分均与驾驶绩效表现出显著相关性。本研究提出的方法不仅为理解和评估情境意识开辟了新途径，还为驾驶绩效提供了令人满意的代理指标。