TY - JOUR
T1 - Human-Centered Intervention Based on Tactical-Level Input in Unscheduled Takeover Scenarios for Highly-Automated Vehicles
AU - Kamezaki, Mitsuhiro
AU - Hayashi, Hiroaki
AU - Manawadu, Udara E.
AU - Sugano, Shigeki
N1 - Funding Information:
This research was supported in part by the JST PRESTO (JPMJPR1754), in part by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan, in part by the Future Robotics Organization, Waseda University, and the Research Institute for Science and Engineering, Waseda University.
Publisher Copyright:
© 2019, The Author(s).
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Due to functional limitations in certain situations, the driver receives a request to intervene from automated vehicles operating level 3. Unscheduled intervention of control authority would lead to insufficient situational awareness, then this will make dangerous situations. The purpose of this study is thus to propose tactical-level input (TLI) method with a multimodal driver-vehicle interface (DVI) for the human-centered intervention. The proposed DVI system includes touchscreen, hand-gesture, and haptic interfaces that enable interaction between driver and vehicle, and TLI along with such DVI system can enhance situational awareness. We performed unscheduled takeover experiments using a driving simulator to evaluate the proposed intervention system. The experimental results indicate that TLI can reduce reaction time and driver workload, and moreover, most drivers preferred the use of TLI than manual takeover.
AB - Due to functional limitations in certain situations, the driver receives a request to intervene from automated vehicles operating level 3. Unscheduled intervention of control authority would lead to insufficient situational awareness, then this will make dangerous situations. The purpose of this study is thus to propose tactical-level input (TLI) method with a multimodal driver-vehicle interface (DVI) for the human-centered intervention. The proposed DVI system includes touchscreen, hand-gesture, and haptic interfaces that enable interaction between driver and vehicle, and TLI along with such DVI system can enhance situational awareness. We performed unscheduled takeover experiments using a driving simulator to evaluate the proposed intervention system. The experimental results indicate that TLI can reduce reaction time and driver workload, and moreover, most drivers preferred the use of TLI than manual takeover.
KW - Multimodal feedback
KW - Tactical-level input
KW - Unscheduled takeover
UR - http://www.scopus.com/inward/record.url?scp=85076560489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076560489&partnerID=8YFLogxK
U2 - 10.1007/s13177-019-00217-x
DO - 10.1007/s13177-019-00217-x
M3 - Article
AN - SCOPUS:85076560489
SN - 1868-8659
VL - 18
SP - 451
EP - 460
JO - International Journal of Intelligent Transportation Systems Research
JF - International Journal of Intelligent Transportation Systems Research
IS - 3
ER -