An Online Study to Explore Trust in Highly Automated Vehicle in Non-Critical Automated Driving Scenarios

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

Abstract

While using highly automated systems, various non-critical automated driving scenarios can be identified in which trust plays a role. In this study, we investigated the change of trust in these scenarios with a digital “Feeling of Trust” indicator, through video-based online experiments simulating automated driving. Initial results show that trust even changes in these scenarios and revealed multiple influential factors. While trust seems to drop consistently in certain cases, we found individual differences in other events. With our experimental setup and findings, we provide a tool to examine trust aspects in an online study. This contributes to the understanding of how to design human-vehicle interactions in highly automated cars with the goal to calibrate trust under ordinary non-critical events.
Original languageEnglish
Title of host publication13th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2021)
PublisherAssociation for Computing Machinery, Inc
Pages34–38
Number of pages5
ISBN (Electronic)9781450386418
DOIs
Publication statusPublished - 9 Sep 2021
Event13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021 - Virtual, Virtual, Online, United Kingdom
Duration: 9 Sep 202114 Sep 2021
Conference number: 13
https://www.auto-ui.org/21/

Conference

Conference13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021
Abbreviated titleAutomotiveUI 2021
Country/TerritoryUnited Kingdom
CityVirtual, Online
Period9/09/2114/09/21
Internet address

Keywords

  • Trust calibration
  • highly automated vehicles
  • video study

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