Why is the Automation Not Available and When Can I Use It?

Simon Danner, Tobias Hecht, Benjamin Steidl, Klaus Bengler

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

1 Scopus citations

Abstract

To this point, research regarding Human-Machine Interfaces (HMIs) and information needs in automated vehicles has focused on the period when the automation is active whereas this study investigated information needs regarding an AutomSSSated Driving System (ADS) while the same is not available. A driving simulator study (N = 34) was conducted to measure the effects of displaying the time until the automation will be available as well as reasons for non-availability on subjective ratings of the system and perceived system understanding. No effects were found for subjective ratings as usability, acceptance and workload, but there was a significant increase in perceived system understanding. Even though acceptance and usability showed no significant increase, participants ranked HMI concepts containing additional information higher than the baseline concept. The results indicate that HMIs giving information on the automation while it is not available are perceived favorably by participants and can increase transparency of the automation.

Original languageEnglish
Title of host publicationProceedings of the 21st Congress of the International Ergonomics Association, IEA 2021 - Sector Based Ergonomics
EditorsNancy L. Black, W. Patrick Neumann, Ian Noy
PublisherSpringer Science and Business Media Deutschland GmbH
Pages623-632
Number of pages10
ISBN (Print)9783030746070
DOIs
StatePublished - 2021
Event 21st Congress of the International Ergonomics Association, IEA 2021 - Virtual, Online
Duration: 13 Jun 202118 Jun 2021

Publication series

NameLecture Notes in Networks and Systems
Volume221 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference 21st Congress of the International Ergonomics Association, IEA 2021
CityVirtual, Online
Period13/06/2118/06/21

Keywords

  • Automated driving
  • Automation availability
  • Driving simulator study
  • Human-machine interface
  • Mental model

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