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Updated: Jun 3, 2025

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

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Understanding Cyclists' Visual Behavior Using Eye-Tracking Technology: A Systematic Review.

Fatima Kchour¹, Salvatore Cafiso¹, Giuseppina Pappalardo¹

¹Department of Civil Engineering and Architecture, University of Catania, 64 Santa Sofia Street, 95123 Catania, Italy.

Sensors (Basel, Switzerland)

|January 11, 2025

Summary

This summary is machine-generated.

Eye-tracking technology reveals how road design, traffic, and weather impact cyclist gaze patterns. This research highlights intersections as key areas of visual workload for cyclist safety.

Keywords:

cyclist safety eye-tracking systems gaze behavior hazard perception road safety visual attention visual workload

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Area of Science:

* Road safety research
* Human-computer interaction
* Transportation engineering

Background:

* Eye-tracking systems offer real-time insights into cyclist visual behavior.
* Understanding visual attention is crucial for enhancing cyclist safety.
* Previous research has explored various factors influencing cyclist perception.

Purpose of the Study:

* To systematically review the application of eye-tracking systems in improving cyclist safety.
* To identify key factors affecting cyclists' gaze patterns and visual attention.
* To synthesize findings on visual workload and hazard perception in cyclists.

Main Methods:

* Systematic literature search conducted on SCOPUS and Web of Science databases.
* PRISMA 2020 guidelines followed for study selection (2010-2024).
* Inclusion criteria focused on studies assessing visual behavior of cyclists in real or virtual traffic environments.

Main Results:

* Road elements' design, traffic density, and weather significantly influence cyclists' gaze patterns.
* Intersections were identified as major contributors to significant visual workload.
* Eye-tracking data provides valuable insights into cyclist visual behavior and safety.

Conclusions:

* Eye-tracking is a valuable tool for understanding cyclist visual behavior and safety.
* Future research should address limitations such as small sample sizes and technological constraints.
* Recommendations include utilizing diverse samples, advanced eye-tracking technology, and focusing on peripheral vision.