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Understanding Cyclists’ Visual Behavior Using Eye-Tracking Technology: A Systematic Review
Year
2024
Paper ID
13907
Status
Peer-reviewed
Abstract Read
~2 min
Abstract Words
193
Citations
8
Abstract
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- Eye-tracking technologies are emerging in research aiming to understand the visual behavior of cyclists to improve their safety.
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