Are you ready for a drive? User perspectives on autonomous vehicles

Andreea I. Niculescu, Alan Dix, Kheng Hui Yeo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

In this paper, we present preliminary results of a user research study investigating factors with high potential impact on user experience (UX) of autonomous vehicles (AVs). The study was conducted in Singapore with 29 participants in 10 sessions, each one lasting around 2 hours. Participants conveyed their requirements verbally, as well as visually through sketching. The extensive rounds of discussions revealed an underlying trend of general mistrust towards AVs expressed in three requirement categories concerning: safety, empowerment and interaction style. In response to these requirements, designers need to ensure the vehicle's reliability is "expressed" in users' "language", passengers are allowed to have some decision power during navigation (despite the car being autonomous) and are able to interact with the AV in a flexible, easy and straightforward manner. We believe such design decisions would be beneficial to generate more trust towards AVs and improve the overall UX.

Original languageEnglish
Title of host publicationCHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages2810-2817
Number of pages8
ISBN (Electronic)9781450346566
DOIs
Publication statusPublished - 6 May 2017
Externally publishedYes
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States
Duration: 6 May 201711 May 2017

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
VolumePart F127655

Conference

Conference2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
Country/TerritoryUnited States
CityDenver
Period6/05/1711/05/17

Keywords

  • Autonomous vehicle
  • Empowerment
  • Interaction style
  • Reliability
  • Safety
  • Trust
  • UX
  • User research

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