"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

doi:10.1145/3027063.3053155

"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

Department of Business Administration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 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 language	English
Title of host publication	CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Explore, Innovate, Inspire
Publisher	Association for Computing Machinery
Pages	1771-1778
Number of pages	8
ISBN (Electronic)	9781450346566
DOIs	https://doi.org/10.1145/3027063.3053155
Publication status	Published - 2017 May 6
Event	2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States Duration: 2017 May 6 → 2017 May 11

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	Part F127655

Other

Other	2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
Country/Territory	United States
City	Denver
Period	17/5/6 → 17/5/11

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

Access to Document

10.1145/3027063.3053155

Cite this

Kim, N., Jeong, K., Yang, M., Oh, Y., & Kim, J. (2017). "Are you ready to take-over?": An exploratory study on Visual Assistance to enhance driver vigilance. In CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire (pp. 1771-1778). (Conference on Human Factors in Computing Systems - Proceedings; Vol. Part F127655). Association for Computing Machinery. https://doi.org/10.1145/3027063.3053155

Kim, Naeun ; Jeong, Kwangmin ; Yang, Minyoung ; Oh, Yejeon ; Kim, Jinwoo. / "Are you ready to take-over?" : An exploratory study on Visual Assistance to enhance driver vigilance. CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, 2017. pp. 1771-1778 (Conference on Human Factors in Computing Systems - Proceedings).

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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.",

author = "Naeun Kim and Kwangmin Jeong and Minyoung Yang and Yejeon Oh and Jinwoo Kim",

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Kim, N, Jeong, K, Yang, M, Oh, Y & Kim, J 2017, "Are you ready to take-over?": An exploratory study on Visual Assistance to enhance driver vigilance. in CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Conference on Human Factors in Computing Systems - Proceedings, vol. Part F127655, Association for Computing Machinery, pp. 1771-1778, 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017, Denver, United States, 17/5/6. https://doi.org/10.1145/3027063.3053155

"Are you ready to take-over?" : An exploratory study on Visual Assistance to enhance driver vigilance. / Kim, Naeun; Jeong, Kwangmin; Yang, Minyoung; Oh, Yejeon; Kim, Jinwoo.

CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, 2017. p. 1771-1778 (Conference on Human Factors in Computing Systems - Proceedings; Vol. Part F127655).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Kim N, Jeong K, Yang M, Oh Y, Kim J. "Are you ready to take-over?": An exploratory study on Visual Assistance to enhance driver vigilance. In CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery. 2017. p. 1771-1778. (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/3027063.3053155

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

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this