Levels of driving automation from a user’s perspective: How are the levels represented in the user’s mental model?

Hendrik Homans, Jonas Radlmayr, Klaus Bengler

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

9 Scopus citations

Abstract

In this explorative study, we focused on the number of levels of driving automation as part of the mental model, using a newly created online questionnaire and analyzing results using Principal Component Analysis. The online questionnaire consisted of 20 automated driving functions that were described in short sentences. The 247 participants subjectively rated the degree of automation of the 20 functions on a 7-point rating scale. Using Principal Component Analysis, the ratings were summarized into groups represented by the components based on correlative relationships. The results yielded three components, which can be interpreted as three levels of driving automation. These three levels differ from the well-established taxonomies, showing that users do not differentiate between five or six levels of driving automation.

Original languageEnglish
Title of host publicationHuman Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019
EditorsTareq Ahram, Redha Taiar, Serge Colson, Arnaud Choplin
PublisherSpringer Verlag
Pages21-27
Number of pages7
ISBN (Print)9783030256289
DOIs
StatePublished - 2020
Event1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019 - Nice, France
Duration: 22 Aug 201924 Aug 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1018
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019
Country/TerritoryFrance
CityNice
Period22/08/1924/08/19

Keywords

  • Analysis and evaluation
  • Autonomous driving
  • Human-automation interaction
  • Levels of automation
  • Mental models
  • Vehicle automation

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