Should Steering Settings be Changed by the Driver or by the Vehicle Itself?

Journal Article (2022)
Author(s)

T. Melman (TU Delft - Human-Robot Interaction, ENSTA Paris, Group Renault)

Mark Weijerman (Student TU Delft)

Joost C F De Winter (TU Delft - Human-Robot Interaction)

D. Abbink (TU Delft - Human-Robot Interaction)

Research Group
Human-Robot Interaction
Copyright
© 2022 T. Melman, Mark Weijerman, J.C.F. de Winter, D.A. Abbink
DOI related publication
https://doi.org/10.1177/00187208221127944
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 T. Melman, Mark Weijerman, J.C.F. de Winter, D.A. Abbink
Related content
Research Group
Human-Robot Interaction
Issue number
4
Volume number
66 (2024)
Pages (from-to)
1201-1215
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Abstract

Introduction: Cars are increasingly computerized, and vehicle settings such as steering gain (SG) can now be altered during driving. However, it is unknown whether transitions in SG should be adaptable (i.e., triggered by driver input) or adaptive (i.e., triggered automatically). We examined this question for road segments expected to require different SG. Objective: This paper aimed to investigate whether SG mode changes should be made by the driver or automatically. Methods: Twenty-four participants drove under four conditions in a simulator: fixed low gain (FL), fixed high gain (FH), a machine-initiated steering system, which switched between the two SG levels at predetermined locations (MI), and a driver-initiated steering system, in which the SG level could be changed by pressing a button on the steering wheel (DI). Results: Participants showed poorer lane-keeping and reported higher effort for FH compared to FL on straights, while the opposite held true on curved roads. On curved roads, the MI condition yielded better lane-keeping and lower subjective effort than the DI condition. However, a substantial portion of the drivers gave low preference rankings to the MI system. Conclusion: Drivers prefer and benefit from a steering system with a variable rather than fixed gain. Furthermore, although automatic SG transitions reduce effort, some drivers reject this concept. Application: As the state of technology advances, MI transitions are becoming increasingly feasible, but whether drivers would want to delegate their decision-making authority to a machine remains a moot point.