Effects of Anger and Display Urgency on Takeover Performance in Semi-automated Vehicles

Harsh Sanghavi, Yiqi Zhang, Myounghoon Jeon

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

1 Scopus citations

Abstract

As semi-automated vehicles get to have the ability to drive themselves, it is important (1) to explore drivers' affective states which may influence takeover performance and (2) to design optimized control transition displays to warn drivers to take control back from the vehicles. The present study investigated the influence of anger on drivers' takeover reaction time and quality, with varying urgency of auditory takeover request displays. Using a driving simulator, 36 participants experienced takeover scenarios in a semi-automated vehicle with a secondary task (game). Higher frequency and more repetitions of the auditory displays led to faster takeover reaction times, but there was no difference between angry and neutral drivers. For takeover quality, angry drivers drove faster, took longer to change lanes and had lower steering wheel angles than neutral drivers, which made riskier driving. Results are discussed with the necessity of affect research and display design guidelines in automated vehicles.

Original languageEnglish (US)
Title of host publicationProceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020
PublisherAssociation for Computing Machinery, Inc
Pages48-56
Number of pages9
ISBN (Electronic)9781450380652
DOIs
StatePublished - Sep 21 2020
Event12th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020 - Washington, Virtual, United States
Duration: Sep 21 2020Sep 22 2020

Publication series

NameProceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020

Conference

Conference12th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020
CountryUnited States
CityWashington, Virtual
Period9/21/209/22/20

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Software
  • Automotive Engineering

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