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access icon free Cross-regional driver–vehicle interaction design: an interview study on driving risk perceptions, decisions, and ADAS function preferences

  • Author(s): Yuan Liao 1 ; Minjuan Wang 2 ; Lian Duan 3 ; Fang Chen 3
    • View affiliations
  • Source: Volume 12, Issue 8, October 2018, p. 801 – 808
    DOI:  10.1049/iet-its.2017.0241 , Print ISSN 1751-956X, Online ISSN 1751-9578
© The Institution of Engineering and Technology
Received 08/08/2017, Accepted 13/04/2018, Revised 08/03/2018, Published 26/04/2018

A cross-regional study of driving behaviour and technological preferences in typical driving scenarios, especially dangerous pre-crash scenarios, is presented as a contribution to the user experience design of in-vehicle driver assistance functions. Data from 46 participants are collected by one-to-one interviews following viewing of 11 video clips previously obtained from naturalistic field operational tests and representative of typical real driving scenarios. Six questions relating to each driving scenario are asked to reveal the differences between Chinese drivers and Swedish drivers. The results show similarities and differences in driving risk perceptions, decisions, and preferences concerning the assistance and specifics of potential advanced driver assistance system (ADAS) functions of drivers in China and Sweden. The preferences for assistance and ADAS functions are found to be correlated with relative driving risk perceptions and decisions in typical driving scenarios for both country groups. Based on the results, some suggestions for the design of driver–vehicle interactions for Chinese drivers are presented.

Inspec keywords: driver information systems; risk analysis; user centred design

Other keywords: risk perceptions; in-vehicle driver assistance functions; advanced driver assistance system; Swedish drivers; ADAS function preferences; naturalistic field operational tests; cross-regional driver-vehicle interaction design; technological preferences; Chinese drivers; driving behaviour; driving risk perceptions; user experience design

Subjects: Traffic engineering computing

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