Highly Automated Driving Impact on Drivers’ Gaze Behaviors during a Car-Following Task

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Abstract
The ever-increasing degree of automation in vehicles, with drivers delegating part of the manual driving task to automation, sets new research questions in terms of human–machine cooperation. Manual steering requires drivers to gaze at a distant road sections to ensure that the vehicle follows the road curvature and at a near road sections to maintain the vehicle within the lane limits. In this experiment, gaze behaviors engaged under highly automated driving (HAD) and manual driving conditions were compared. The results show a critical decrease of the number of gazes at the near road sections for the HAD condition compared to the manual driving condition. Two human-based highly automated “driving styles” were also compared, but did not translate into significant gaze behaviors modifications. Finally, no after-effect of the HAD was found on subsequent manual driving.
Funding Information
  • Agence Nationale de la Recherche (ANR-18-CE22-0002-01)

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