Related Experiment Video
Updated: Nov 17, 2025
11:12
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
Published on: September 18, 2012
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Dynamic scan paths investigations under manual and highly automated driving
Jordan Navarro1,2, Otto Lappi3, François Osiurak4,5
1EMC (Laboratoire D'étude Des Mécanismes Cognitifs), University Lyon 2, Bron, France. jordan.navarro@univ-lyon2.fr.
Scientific Reports
|February 13, 2021
Summary
Drivers
Area of Science:
- Human-Computer Interaction
- Automotive Engineering
- Cognitive Science
Background:
- Visual scanning is crucial for driving control, informing models of steering and speed.
- Gaze behavior research has advanced, but sequential visual sampling strategies remain unclear.
Purpose of the Study:
- To analyze visual scanning sequences in manual versus highly automated driving.
- To identify and compare gaze strategies across different driving automation levels.
Main Methods:
- Utilized scan path analysis on simulated driving data.
- Categorized visual sequences into distinct patterns like forward polling, guidance, and backwards polling.
Main Results:
- Identified five visual sequences in manual driving, with 'backwards polling' being most frequent.
- In highly automated driving, 'backwards polling' decreased, 'guidance' increased, and new 'automation supervision' scans emerged.
Conclusions:
- Driving automation alters visual scanning patterns, shifting focus from near-road monitoring to automation supervision.
- Findings offer insights into driver gaze behavior and inform future human-factors research in automated vehicles.
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