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Should Steering Settings be Changed by the Driver or by the Vehicle Itself?
Timo Melman1,2,3, Mark Weijerman1, Joost de Winter1
1Delft University of Technology, Delft, Netherlands.
Human Factors
|September 23, 2022
Summary
Drivers prefer variable steering gain (SG) systems. While automatic transitions reduce effort, some drivers reject machine-initiated control, highlighting a need for driver-centric adaptive systems.
Area of Science:
- Human-Computer Interaction
- Automotive Engineering
- Cognitive Psychology
Background:
- Modern vehicles feature advanced computerization, enabling dynamic adjustments to settings like steering gain (SG).
- The optimal control strategy for variable steering gain—driver-initiated versus automatic adaptation—remains undetermined for varying road conditions.
Purpose of the Study:
- To investigate whether steering gain mode changes should be driver-initiated or automatically controlled.
- To compare driver performance and subjective experience between fixed and variable steering gain systems.
Main Methods:
- A driving simulator study with 24 participants evaluating four conditions: fixed low gain (FL), fixed high gain (FH), machine-initiated (MI) automatic transitions, and driver-initiated (DI) transitions.
- Lane-keeping accuracy and subjective effort were measured across different road segments.
Main Results:
- Fixed high gain (FH) resulted in poorer lane-keeping and higher effort on straights compared to fixed low gain (FL), with the inverse true on curves.
- Machine-initiated (MI) transitions improved lane-keeping and reduced effort on curves compared to driver-initiated (DI) transitions.
- A significant number of participants expressed low preference for the machine-initiated (MI) system.
Conclusions:
- Variable steering gain (SG) systems are preferred by drivers and offer performance benefits over fixed gain systems.
- While automatic steering gain transitions can reduce driver effort, driver acceptance of machine-initiated control is not universal.
- The findings suggest a need for adaptive steering systems that balance automated adjustments with driver control and preference.
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