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Control task substitution in semiautomated driving: does it matter what aspects are automated?
Oliver Carsten1, Frank C H Lai, Yvonne Barnard
1Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, United Kingdom. o.m.j.carsten@its.leeds.ac.uk
Human Factors
|November 20, 2012
Summary
Driver engagement in non-driving tasks increases with vehicle automation levels. Lateral and longitudinal support differ in driver perception, impacting road attention.
Area of Science:
- Human-Computer Interaction
- Automotive Engineering
- Cognitive Psychology
Background:
- Limited research exists on automation's impact on driver engagement in driving and non-driving tasks.
- Understanding driver behavior in automated vehicles is crucial for safety and adoption.
Purpose of the Study:
- To assess how automation levels affect driver attention to the road and engagement in secondary tasks.
- To differentiate the effects of longitudinal versus lateral control automation on driver behavior.
Main Methods:
- A driving simulator study evaluated three automation levels: manual, semi-automated (longitudinal or lateral support), and highly automated.
- Participants could choose to attend to the road or engage in non-driving tasks like entertainment or grooming.
Main Results:
- Engagement in non-driving tasks significantly increased with higher automation levels.
- Substantial differences in road attention were observed between semi-automated longitudinal and lateral support conditions.
Conclusions:
- Current literature and driving task analyses do not fully explain the observed effects of automation on driver engagement.
- Drivers perceive and react differently to lateral and longitudinal support, despite similar automation levels.
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