Feel the movement: Real motion influences responses to Take-over requests in highly automated vehicles

Shadan Sadeghian Borojeni, Susanne C.J. Boll, Wilko Heuten, Heinrich Bulthoff, Lewis Chuang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

Take-over requests (TORs) in highly automated vehicles are cues that prompt users to resume control. TORs however, are often evaluated in non-moving driving simulators. This ignores the role of motion, an important source of information for users who have their eyes off the road while engaged in non-driving related tasks. We ran a user study in a movingbase driving simulator to investigate the effect of motion on TOR responses. We found that with motion, user responses to TORs vary depending on the road context where TORs are issued. While previous work showed that participants are fast to respond to urgent cues, we show that this is true only when TORs are presented on straight roads. Urgent cues issued on curved roads elicit slower responses than non-urgent cues on curved roads. Our findings indicate that TORs should be designed to be aware of road context to accommodate natural user responses.

Original languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherAssociation for Computing Machinery
Volume2018-April
ISBN (Electronic)9781450356206, 9781450356213
DOIs
Publication statusPublished - 2018 Apr 20
Externally publishedYes
Event2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada
Duration: 2018 Apr 212018 Apr 26

Other

Other2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
CountryCanada
CityMontreal
Period18/4/2118/4/26

Keywords

  • Automated driving
  • Motion cueing
  • Motion simulator
  • Take-over requests

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Fingerprint Dive into the research topics of 'Feel the movement: Real motion influences responses to Take-over requests in highly automated vehicles'. Together they form a unique fingerprint.

  • Cite this

    Borojeni, S. S., Boll, S. C. J., Heuten, W., Bulthoff, H., & Chuang, L. (2018). Feel the movement: Real motion influences responses to Take-over requests in highly automated vehicles. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3173574.3173820