"Are you ready to take-over?": An exploratory study on Visual Assistance to enhance driver vigilance

Naeun Kim, Kwangmin Jeong, Minyoung Yang, Yejeon Oh, Jinwoo Kim

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

17 Citations (Scopus)

Abstract

In the near future, drivers are expected to face vulnerability under the takeover phase in automated cars of level 2 or 3. We focused on the problem resulted from decreased vigilance and difficulties in shifting attention while drivers take over the control from the automatic mode. In order to address this problem, we explored 'VACT (Visual Assistance Concept for Takeover)', which applies dynamicity to shift visual attention. From a thorough literature review, we have come up with two windshield interface concepts to enhance drivers' vigilance and readiness before the takeover: Useful Field of View (UFOV) and Object-View (OV) Interface. To evaluate the UI concepts, an in-lab experiment was conducted with 57 participants in a semi-naturalistic driving environment. Implications for interface design of visual assistance and its impact on brake reaction time, mental workload and perceived usefulness are discussed.

Original languageEnglish
Title of host publicationCHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages1771-1778
Number of pages8
ISBN (Electronic)9781450346566
DOIs
Publication statusPublished - 2017 May 6
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States
Duration: 2017 May 62017 May 11

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
VolumePart F127655

Other

Other2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
Country/TerritoryUnited States
CityDenver
Period17/5/617/5/11

Bibliographical note

Publisher Copyright:
Copyright © 2017 by the Association for Computing Machinery, Inc. (ACM).

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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