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What Drivers Make of Directional Maneuver Information in a Take-Over Scenario

  • Technical University of Munich

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

4 Scopus citations

Abstract

Shared vehicle control is a potential intermediate step in the development of fully automated driving. A specific use-case for shared control is a take-over scenario involving conditional automated driving. Such cooperation essentially requires both partner's awareness of the other's intentions. This paper's authors focus on the communication of intent from the system to the driver. The message has to reliably represent the vehicle's intent, and the driver has to correctly interpret it. To investigate this aspect, we designed a driving-simulator experiment. It features an automated system, which recommends an evasive maneuver's direction during the take-over scenario. Drivers confronted four take-over scenarios, three with correct recommendations and one with an incorrect recommendation. We tested the understanding of and trust in the perceived information as well as resulting gaze behavior. The results reveal a mixed interpretation of the information in the first scenario with a shift to mainly correct understanding in the last scenario. Trust was significantly lower only for the case in which an incorrect recommendation was issued. No significant connection between understanding or trust and gaze behavior was found. We conclude that more information about the recommendation's origin should be provided to promote successful ensuing shared control.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3859-3864
Number of pages6
ISBN (Electronic)9781538666500
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: 7 Oct 201810 Oct 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/TerritoryJapan
CityMiyazaki
Period7/10/1810/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • automated driving
  • malfunction
  • shared control
  • shared guidance
  • trust

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