Wearable eye tracking in real-world Oxford cycling reveals gaze pattern differences by lane type, intersection, and traffic events, indicating variations in perceived danger and workload.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
A higher-order network comparison of real Ile-de-France mobility traces against a synthetic simulator finds the simulator promising yet limited on path-level statistics.
citing papers explorer
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What Can Eye Gaze Teach Us About Real-World Cycling? Insights From the Oxford RobotCycle Project
Wearable eye tracking in real-world Oxford cycling reveals gaze pattern differences by lane type, intersection, and traffic events, indicating variations in perceived danger and workload.
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Higher-order Network Analysis of Human Mobility Data
A higher-order network comparison of real Ile-de-France mobility traces against a synthetic simulator finds the simulator promising yet limited on path-level statistics.