New Research on Eye Tracking Measures of Bicyclists

September 9, 2024

Eye tracking measures of bicyclists’ behavior and perception: A systematic review

by Shiyu Ma (Ph.D. ’22), Wenwen Zhang, Robert B. Noland, Clinton J. Andrews

Abstract

With improved portability and affordability, eye tracking devices have facilitated an expanding range of cycling experiments aimed at understanding cycling behavior and potential risks. Given the complexity of cyclists’ visual behavior and gaze measurements, we provide a comprehensive review with three key focuses: 1) the adoption and interpretation of various gaze metrics derived from cycling experiments, 2) a summary of the findings of those experiments, and 3) identifying areas for future research. A systematic review of three databases yielded thirty-five articles that met our inclusion criteria. Our review results show that cycling experiments with eye tracking allow analysis of the viewpoint of the cyclist and reactions to the built environment, road conditions, navigation behavior, and mental workload and/or stress levels. Our review suggests substantial variation in research objectives and the consequent selection of eye-tracking devices, experimental design, and which gaze metrics are used and interpreted. 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. The diversity of gaze metrics reported in the literature makes cross-study comparisons difficult. Areas for future research, especially potential integration with computer vision are also discussed.

Read Article

Citation

Shiyu Ma, Wenwen Zhang, Robert B. Noland, Clinton J. Andrews, Eye tracking measures of bicyclists’ behavior and perception: A systematic review, Transportation Research Part F: Traffic Psychology and Behaviour, Volume 107,
2024, Pages 52-68, ISSN 1369-8478, https://doi.org/10.1016/j.trf.2024.08.026.

Recent Posts

Zhang et al. Study Street-View Greenspace and Exercise

GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women Abstract Background Increasing evidence positively links greenspace and physical activity (PA). However, most studies use measures of greenspace, such...

NJSPL: Some College, No Credential Population in NJ

Overview of the Some College, No Credential Population and Educational Outcomes in New Jersey, 2023–2024 New Jersey State Policy Lab Supporting New Jersey residents in returning to college after leaving without a credential has been an increasing focus of the state’s...

Loh and Noland Explore Public Charging Station Disparities

Equal charging for all: Are there income-based disparities in public charging stations? Abstract We compare charging station accessibility for different income groups in the San Francisco Bay Area. Using a microsimulation model, we estimate charging station...

Heldrich Center Releases New Work Trends Brief and Website

The Heldrich Center for Workforce Development is pleased to announce the availability of two new research products resulting from its long-running public opinion polling series, Work Trends. To better understand the public’s attitudes about work, employers, and the...

NJSPL Report: Analyzing the Use and Equity of ARPA Funds

Report Release: Analyzing the Use and Equity of ARPA Funds in NJ Local Governments and Beyond New Jersey State Policy Lab The American Rescue Plan Act’s Coronavirus State and Local Fiscal Recovery Funds (ARPA-SLFRF) represent a historic $350 billion investment to...