Development of Warning Methods for Planned and Unplanned Takeover Requests in a Simulated Automated Driving Vehicle
(2022) 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 In Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 p.65-74- Abstract
In several circumstances, a level-three automated vehicle cannot continue driving in an automated driving mode and requests a human driver to take over. In this study, a series of experiments to examine how to provide a TOR was conducted. First, for forty-one persons, a HUD icon, earcon, seat vibration, and combinations were compared. The results indicated that the HUD icon-earcon and HUD icon-seat vibration were the most effective. Second, the combinations of A-pillar LED light and cluster icon (visual), earcon and speech message (auditory), and presence/absence of seat vibration (haptic) were compared. Thirty-six volunteers participated in the ADS failure and forty in the highway exit experiment. In the ADS failure, the combination of... (More)
In several circumstances, a level-three automated vehicle cannot continue driving in an automated driving mode and requests a human driver to take over. In this study, a series of experiments to examine how to provide a TOR was conducted. First, for forty-one persons, a HUD icon, earcon, seat vibration, and combinations were compared. The results indicated that the HUD icon-earcon and HUD icon-seat vibration were the most effective. Second, the combinations of A-pillar LED light and cluster icon (visual), earcon and speech message (auditory), and presence/absence of seat vibration (haptic) were compared. Thirty-six volunteers participated in the ADS failure and forty in the highway exit experiment. In the ADS failure, the combination of A-pillar LED light and seat vibration (AH) reduced the RT but can induce stress. In the highway exit, a speech message is recommended due to control stability, and the AH is not recommended due to longitudinal instability.
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- author
- Hong, Sara
LU
; Maeng, Jooyoung ; Kim, Hee Jeong and Yang, Ji Hyun
- publishing date
- 2022-09-17
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Automated vehicle, Modality, Takeover, Takeover request
- host publication
- Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
- series title
- Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
- pages
- 10 pages
- publisher
- Association for Computing Machinery (ACM)
- conference name
- 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
- conference location
- Seoul, Korea, Republic of
- conference dates
- 2022-09-17 - 2022-09-20
- external identifiers
-
- scopus:85139504813
- ISBN
- 9781450394154
- DOI
- 10.1145/3543174.3545999
- language
- English
- LU publication?
- no
- additional info
- This publication was produced during my PhD at Kookmin University, prior to my employment at LU. Included here for profile completeness.
- id
- 47ffea60-c16e-4b44-854a-b76213dbf415
- date added to LUP
- 2025-07-08 14:46:43
- date last changed
- 2025-08-12 14:08:01
@inproceedings{47ffea60-c16e-4b44-854a-b76213dbf415, abstract = {{<p>In several circumstances, a level-three automated vehicle cannot continue driving in an automated driving mode and requests a human driver to take over. In this study, a series of experiments to examine how to provide a TOR was conducted. First, for forty-one persons, a HUD icon, earcon, seat vibration, and combinations were compared. The results indicated that the HUD icon-earcon and HUD icon-seat vibration were the most effective. Second, the combinations of A-pillar LED light and cluster icon (visual), earcon and speech message (auditory), and presence/absence of seat vibration (haptic) were compared. Thirty-six volunteers participated in the ADS failure and forty in the highway exit experiment. In the ADS failure, the combination of A-pillar LED light and seat vibration (AH) reduced the RT but can induce stress. In the highway exit, a speech message is recommended due to control stability, and the AH is not recommended due to longitudinal instability.</p>}}, author = {{Hong, Sara and Maeng, Jooyoung and Kim, Hee Jeong and Yang, Ji Hyun}}, booktitle = {{Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022}}, isbn = {{9781450394154}}, keywords = {{Automated vehicle; Modality; Takeover; Takeover request}}, language = {{eng}}, month = {{09}}, pages = {{65--74}}, publisher = {{Association for Computing Machinery (ACM)}}, series = {{Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022}}, title = {{Development of Warning Methods for Planned and Unplanned Takeover Requests in a Simulated Automated Driving Vehicle}}, url = {{http://dx.doi.org/10.1145/3543174.3545999}}, doi = {{10.1145/3543174.3545999}}, year = {{2022}}, }