Highlights Drivers’ cognitive workload and visual attention are investigated during real-world partiallyautomated driving. No differences in cognitive workload were found between manual and automated driving. A decline in visual attention allocation toward the forward roadway was found in partiallyautomated driving. Drivers spent more time looking at the touchscreen when the automated system was operational relative to manual driving.

    Abstract The use of partially-automated or SAE level-2 vehicles is expected to change the role of the human driver from operator to supervisor, which may have an effect on the driver’s workload and visual attention. In this study, 30 Ontario drivers operated a vehicle in manual and partially-automated mode. Cognitive workload was measured by means of the Detection Response Task, and visual attention was measured by means of coding glances on and off the forward roadway. No difference in cognitive workload was found between driving modes. However, drivers spent less time glancing at the forward roadway, and more time glancing at the vehicle’s touchscreen. These data add to our knowledge of how vehicle automation affects cognitive workload and attention allocation, and show potential safety risks associated with the adoption of partially-automated driving.


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    Title :

    On the impact of on-road partially-automated driving on drivers’ cognitive workload and attention allocation


    Contributors:


    Publication date :

    2024-03-03




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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