通过眼动追踪揭示骑行者对不同路况的潜意识感知差异。
What Can Eye Gaze Teach Us About Real-World Cycling? Insights From the Oxford RobotCycle Project
- 用可穿戴眼动仪捕捉骑行时的视线轨迹，分析认知负荷。
- 不同车道类型（专用车道/混行车道）导致眼动模式显著变化。
- 活动事件（如超车、行人）会引发更复杂的注视行为，反映压力增加。
尽管已知骑行存在物理危险，但对骑行者主观感知危险的理解仍有限。由于感知可能在无意识层面发生，自我报告难以准确捕捉。本研究利用可穿戴眼动追踪眼镜，探索英国牛津地区骑行环境中的感知安全水平及其在不同场景下的差异。研究发现，使用自行车道、机动车道与共享巴士道时，眼动模式存在显著差异，反映出不同道路类型带来的认知挑战。不同交叉口的眼动模式也显著不同，可能影响骑行者的压力水平。此外，在有超车或行人穿行等事件发生时，眼动模式明显不同于无事件情况。研究总结了可穿戴眼动设备在评估骑行压力与工作负荷方面的优势与局限。
原文摘要 · Abstract (English)
Although much is known about the physical danger of cycling situations, less is understood about the perceived danger of cycling. Furthermore, perception of danger may be filtered at a subconscious level and therefore difficult for one to self-report. To this end, these subconscious perceptions can be revealed through physiological metrics such as eye gaze. This paper explores the perceived safety of cycling in Oxford, United Kingdom and explores the ability of wearable eye tracking glasses to produce insights about the differences in perception under different environments and events. This paper finds that eye gaze patterns change between using bike lanes, car lanes and shared bus lanes, representing different cognitive challenges of each lane type. This paper presents that different intersections have significantly different eye gaze patterns which may have implications for cyclist stress. Finally, eye gaze patterns differ in the presence of events such as passes and pedestrians in the road compared to when cycling with no events. This paper draws conclusions on the benefits and limitations of using wearable eye trackers to estimate stress and cyclist workload.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。