Effects of Interface Modality of Video Viewing during Automated Driving on Takeover Performance from Automated driving to manual driving
In this study, the authors investigated the effect of modality when providing videos during automated driving on the driver's takeover performance in the transition from automated driving to manual driving. In the basic experiment, participants were requested to perform video viewing task and visual detection task during automated driving. Significantly, the reaction time was about one second longer for pay more attention to video viewing than for pay more attention to outside. In the verification experiment, the authors evaluated the effect of interface modality of video viewing on participant’s performance when avoiding a collision with a front obstacle just after providing a takeover request (TOR). Significantly, TTC (Time to Collision) was shorter for video viewing without audio than for video viewing with audio.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
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Authors:
- Mizuta, Taiga
- Kuga, Tomoki
- Daimon, Tatsuru
- Mizuno, Nobuhiro
- Yoshizawa, Akira
- Publication Date: 2022-5
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: pp 554-559
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Serial:
- Transactions of Society of Automotive Engineers of Japan
- Volume: 53
- Issue Number: 3
- Publisher: Society of Automotive Engineers of Japan
- ISSN: 0287-8321
- EISSN: 1883-0811
- Serial URL: https://www.jstage.jst.go.jp/browse/jsaeronbun
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Attention; Autonomous vehicle handover; Driver performance; Intelligent vehicles; Reaction time; Video
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01847665
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: May 31 2022 9:17AM