How Visual Cues on Steering Wheel Improve Users’ Trust, Experience, and Acceptance in Automated Vehicles

Arun Muthumani, Frederik Diederichs, Melanie Galle, Sebastian Schmid-Lorch, Christian Forsberg, Harald Widlroither, Alexander Feierle, Klaus Bengler

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

7 Scopus citations

Abstract

With the introduction of ADAS systems and vehicle automation, an interface informing the driver of the automation state is required. This study evaluates the suitability of a visual interface comprising up to 64 LEDs on the steering wheel perimeter; it displays continuous visual feedback about the automation state—including notifications of an unscheduled hand-over due to sudden system failure. Three HMI (Human Machine Interface) designs were evaluated: two versions with visual cues on the steering wheel and one without (baseline). We implemented the designs in a driving simulator and compared the subjective responses of 38 participants to questionnaires measuring user experience, trust, and acceptance. The designs with visual cues improved the participants’ user experience, as well as their trust in, and acceptance of, automated vehicles. Moreover, both designs were well perceived by participants.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2020 Virtual Conference on Human Aspects of Transportation
EditorsNeville Stanton
PublisherSpringer
Pages186-192
Number of pages7
ISBN (Print)9783030509422
DOIs
StatePublished - 2020
EventAHFE Virtual Conference on Human Factors in Transportation, 2020 - San Diego, United States
Duration: 16 Jul 202020 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1212 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conference on Human Factors in Transportation, 2020
Country/TerritoryUnited States
CitySan Diego
Period16/07/2020/07/20

Keywords

  • Human factors in automation
  • Human machine interaction
  • Trust in automated driving
  • Visual cues on steering wheel
  • Visual interface

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