Eye Tracking Measures of Bicyclists’ Behavior and Perception: A Systematic Review
A new study conducted by Shiyu Ma (Ph.D. ’22), Wenwen Zhang, Robert B. Noland, and Clinton J. Andrews examines the use of eye-tracking devices to understand cycling behavior and potential risks. The researchers provide a comprehensive review focusing on three key areas: the adoption and interpretation of various gaze metrics derived from cycling experiments, a summary of findings from those experiments, and identifying areas for future research.
The systematic review included thirty-five articles that met the inclusion criteria from three databases. The results indicate that cycling experiments with eye tracking allow for analysis of cyclists' viewpoints and reactions to the built environment, road conditions, navigation behavior, and mental workload or stress levels.
"Our review suggests substantial variation in research objectives," said the authors, "and the consequent selection of eye-tracking devices, experimental design, and which gaze metrics are used and interpreted."
The study highlights that a variety of general gaze metrics and gaze measurements related to Areas of Interest (AOI) are applied to infer cyclists’ mental workload/stress levels and attention allocation respectively. However, the diversity in reported gaze metrics complicates cross-study comparisons.
Areas for future research include potential integration with computer vision technologies.
