Simulator study on take-over request in partially automated vehicle using auditory and haptic modality
Hong, Sara LU
; Kim, Jae Won
; Baek, Su Jin
and Yang, Ji Hyun
(2020)
In Transactions of the Korean Society of Automotive Engineers
28(6).
p.401-411
- Abstract
: Based on the recent progress on research and development on automated vehicles, mass production of partially autonomous driving vehicles is expected to be available in the 2020s. According to the SAE standard level 3, a takeover situation may occur where the vehicle driving party changes if autonomous driving is released for unavoidable reasons resulting from vehicle or system limitations. In the case of level 3 vehicles, drivers are not obliged to monitor the situation ahead, but they will be held responsible for any accident. Therefore, it is necessary to investigate how drivers can take over vehicle control swiftly and safely in an unexpected situation. This study compared the auditory alarm(e.g., earcons, spearcons, word-based... (More)
: Based on the recent progress on research and development on automated vehicles, mass production of partially autonomous driving vehicles is expected to be available in the 2020s. According to the SAE standard level 3, a takeover situation may occur where the vehicle driving party changes if autonomous driving is released for unavoidable reasons resulting from vehicle or system limitations. In the case of level 3 vehicles, drivers are not obliged to monitor the situation ahead, but they will be held responsible for any accident. Therefore, it is necessary to investigate how drivers can take over vehicle control swiftly and safely in an unexpected situation. This study compared the auditory alarm(e.g., earcons, spearcons, word-based speech, and sentence-based speech) and the haptic alarm(varied in vibration intensity and period), respectively. The selected dependent variables are user behaviors, biomarkers, and vehicle indices. A total of 26 subjects participated in the human-in-the-loop experiment in a vehicle simulation environment. Based on the analysis results, earcon was found to be the most efficient takeover alarm among the auditory alarms, while high intensity(2 g) combined with long-term alarm(3 s on, 0.2 s off) was found to be the most efficient takeover alarm for the haptic alarm.
(Less)
- author
- Hong, Sara
LU
; Kim, Jae Won
; Baek, Su Jin
and Yang, Ji Hyun
- publishing date
- 2020-06
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Auditory alarm, Automated vehicle, Driver-Vehicle Interaction, Haptic alarm, Take over, Take over request
- in
- Transactions of the Korean Society of Automotive Engineers
- volume
- 28
- issue
- 6
- pages
- 11 pages
- publisher
- Korean Society of Automotive Engineers
- external identifiers
-
- scopus:85090659262
- ISSN
- 1225-6382
- DOI
- 10.7467/KSAE.2020.28.6.401
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: Copyright © 2020 KSAE /175-05
- id
- 75d4d8bb-ad17-4531-b6fa-f4df16408fb8
- date added to LUP
- 2025-09-16 14:08:09
- date last changed
- 2025-09-22 16:34:18
@article{75d4d8bb-ad17-4531-b6fa-f4df16408fb8,
abstract = {{<p>: Based on the recent progress on research and development on automated vehicles, mass production of partially autonomous driving vehicles is expected to be available in the 2020s. According to the SAE standard level 3, a takeover situation may occur where the vehicle driving party changes if autonomous driving is released for unavoidable reasons resulting from vehicle or system limitations. In the case of level 3 vehicles, drivers are not obliged to monitor the situation ahead, but they will be held responsible for any accident. Therefore, it is necessary to investigate how drivers can take over vehicle control swiftly and safely in an unexpected situation. This study compared the auditory alarm(e.g., earcons, spearcons, word-based speech, and sentence-based speech) and the haptic alarm(varied in vibration intensity and period), respectively. The selected dependent variables are user behaviors, biomarkers, and vehicle indices. A total of 26 subjects participated in the human-in-the-loop experiment in a vehicle simulation environment. Based on the analysis results, earcon was found to be the most efficient takeover alarm among the auditory alarms, while high intensity(2 g) combined with long-term alarm(3 s on, 0.2 s off) was found to be the most efficient takeover alarm for the haptic alarm.</p>}},
author = {{Hong, Sara and Kim, Jae Won and Baek, Su Jin and Yang, Ji Hyun}},
issn = {{1225-6382}},
keywords = {{Auditory alarm; Automated vehicle; Driver-Vehicle Interaction; Haptic alarm; Take over; Take over request}},
language = {{eng}},
number = {{6}},
pages = {{401--411}},
publisher = {{Korean Society of Automotive Engineers}},
series = {{Transactions of the Korean Society of Automotive Engineers}},
title = {{Simulator study on take-over request in partially automated vehicle using auditory and haptic modality}},
url = {{http://dx.doi.org/10.7467/KSAE.2020.28.6.401}},
doi = {{10.7467/KSAE.2020.28.6.401}},
volume = {{28}},
year = {{2020}},
}