aiqbench analysis
This study leverages wearable eye tracking to quantify subconscious cognitive load and perceived stress for cyclists across varying urban environments. By correlating gaze patterns with specific infrastructure types like bike lanes versus shared bus lanes, the research offers objective metrics for evaluating cyclist workload that self-reports cannot capture. These findings provide a data-driven foundation for optimizing road design and safety interventions based on real-time physiological indicators rather than subjective feedback.
What Can Eye Gaze Teach Us About Real-World Cycling? Insights From the Oxford RobotCycle Project
arXiv:2606.04989v1 Announce Type: cross Abstract: 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.
Title:What Can Eye Gaze Teach Us About Real-World Cycling? Insights From the Oxford RobotCycle Project
Abstract: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.
Human-Computer Interaction (cs.HC); Robotics (cs.RO)
arXiv:2606.04989 [cs.HC]
(or arXiv:2606.04989v1 [cs.HC] for this version)
https://doi.org/10.48550/arXiv.2606.04989 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 289 words