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On investigating drivers' attention allocation during partially-automated driving
Reem Jalal Eddine1, Claudio Mulatti2, Francesco N Biondi3,4
1Human Systems Lab, University of Windsor, Windsor, ON, Canada.
Cognitive Research: Principles and Implications
|April 10, 2024
Summary
Drivers using partially-automated systems may process more peripheral information, potentially impairing their ability to supervise the vehicle. This increased attention to the roadside may hinder crucial manual control resumption.
Area of Science:
- Human-computer interaction
- Automotive engineering
- Cognitive psychology
Background:
- Partially-automated driving systems require driver supervision and timely manual control takeover.
- Drivers may exhibit reduced road-gaze duration when automation is active.
- Existing research explores inattentional blindness in automated driving contexts.
Purpose of the Study:
- To investigate whether drivers' reduced road-gaze during partial automation is linked to inattentional blindness or increased peripheral attention.
- To assess drivers' attentional processing of the driving scene under manual versus partially-automated conditions.
- To determine the impact of automation on drivers' awareness of roadside elements.
Main Methods:
- Participants drove a simulated vehicle in manual and partially-automated modes.
- Head-mounted eye-tracking recorded driver fixations.
- A surprise recognition task assessed awareness of roadside billboards.
Main Results:
- Drivers fixated on and recognized more billboards during partially-automated driving.
- Recognition performance remained high even as fixations decreased over time in automated mode.
- This suggests enhanced processing of peripheral visual information.
Conclusions:
- Partially-automated driving may increase attention to peripheral road scene elements.
- This shift in attention could compromise drivers' supervisory capabilities and timely manual control resumption.
- Further research is needed to understand the implications for driving safety.
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