Evaluation of Display Concepts for the Instrument Cluster in Urban Automated Driving

Alexander Feierle, Fabian Bücherl, Tobias Hecht, Klaus Bengler

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

11 Scopus citations

Abstract

Instrument clusters represent the primary human-machine-interface for displaying driving-related information. Due to the changing relevance of driving-related information in automated driving, a reconfiguration of the display should be investigated. A display concept for an instrument cluster for partially and highly automated driving was developed that adapts the display and positioning of information to the level of automation. The developed concept was compared with a conventional display concept. Thirty participants took part in an experiment performing an occlusion task and a choice reaction time task. The statistical analysis revealed no significant differences in the response accuracy of the occlusion task between the display concepts. The results of the choice reaction time task show a significantly faster reaction time and in contrast to the occlusion task, a significantly lower response accuracy for the adaptive display concept compared to the conventional display concept. The subjective analysis revealed a preference of the adaptive display concept.

Original languageEnglish
Title of host publicationHuman Systems Engineering and Design II - Proceedings of the 2nd International Conference on Human Systems Engineering and Design
Subtitle of host publicationFuture Trends and Applications, IHSED 2019
EditorsTareq Ahram, Waldemar Karwowski, Stefan Pickl, Redha Taiar
PublisherSpringer Verlag
Pages209-215
Number of pages7
ISBN (Print)9783030279271
DOIs
StatePublished - 2020
Event2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications, IHSED 2019 - Munich, Germany
Duration: 16 Sep 201918 Sep 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1026
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications, IHSED 2019
Country/TerritoryGermany
CityMunich
Period16/09/1918/09/19

Keywords

  • Automated driving
  • Human-Machine-Interface
  • Instrument cluster

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