TY - GEN
T1 - "Are you ready to take-over?"
T2 - 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
AU - Kim, Naeun
AU - Jeong, Kwangmin
AU - Yang, Minyoung
AU - Oh, Yejeon
AU - Kim, Jinwoo
N1 - Publisher Copyright:
Copyright © 2017 by the Association for Computing Machinery, Inc. (ACM).
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/5/6
Y1 - 2017/5/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85019542060&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019542060&partnerID=8YFLogxK
U2 - 10.1145/3027063.3053155
DO - 10.1145/3027063.3053155
M3 - Conference contribution
AN - SCOPUS:85019542060
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1771
EP - 1778
BT - CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 6 May 2017 through 11 May 2017
ER -