TY - GEN
T1 - Tactical-level input with multimodal feedback for unscheduled takeover situations in human-centered automated vehicles
AU - Manawadu, Udara E.
AU - Hayashi, Hiroaki
AU - Ema, Takaaki
AU - Kawano, Takahiro
AU - Kamezaki, Mitsuhiro
AU - Sugano, Shigeki
N1 - Funding Information:
Authors would like to thank The Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan, PRESTO JST (JPMJPR1754), and the Research Institute for Science and Engineering, Waseda University, and Future Robotics Organization, Waseda University for supporting this study.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/30
Y1 - 2018/8/30
N2 - Automated vehicles operating in level 3 may request the human driver to intervene in certain situations due to system limitations. Unscheduled transferring of control to manual driving will create safety issues as consequences of inadequate situational awareness and sudden increase of driver workload. In this study, we propose and evaluate tactical-level input (TLI) method with a multimodal human-machine interface (HMI) for driver intervention in short-term system limitations. The HMI system consists of touchscreen, gesture, and haptic interfaces enabling bilateral driver-vehicle interaction. TLI along with the HMI capable of multimodal feedback can provide situation-adaptive spatial information which enhance the driver situational awareness in a short time. To evaluate the proposed system we conducted driving experiments involving unscheduled takeover situations in urban environment using a driving simulator. We analyzed driver reaction times, physiological responses including heart rate, skin conductance and subjective workload as well as qualitative feedback comparing with manual takeover. The results show that TLI can reduce driver workload, reaction times, and improve driver behavior. Moreover, 90% of drivers preferred to use TLI method over manual takeover.
AB - Automated vehicles operating in level 3 may request the human driver to intervene in certain situations due to system limitations. Unscheduled transferring of control to manual driving will create safety issues as consequences of inadequate situational awareness and sudden increase of driver workload. In this study, we propose and evaluate tactical-level input (TLI) method with a multimodal human-machine interface (HMI) for driver intervention in short-term system limitations. The HMI system consists of touchscreen, gesture, and haptic interfaces enabling bilateral driver-vehicle interaction. TLI along with the HMI capable of multimodal feedback can provide situation-adaptive spatial information which enhance the driver situational awareness in a short time. To evaluate the proposed system we conducted driving experiments involving unscheduled takeover situations in urban environment using a driving simulator. We analyzed driver reaction times, physiological responses including heart rate, skin conductance and subjective workload as well as qualitative feedback comparing with manual takeover. The results show that TLI can reduce driver workload, reaction times, and improve driver behavior. Moreover, 90% of drivers preferred to use TLI method over manual takeover.
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U2 - 10.1109/AIM.2018.8452227
DO - 10.1109/AIM.2018.8452227
M3 - Conference contribution
AN - SCOPUS:85053891108
SN - 9781538618547
T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
SP - 634
EP - 639
BT - AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018
Y2 - 9 July 2018 through 12 July 2018
ER -