Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 634-639 |
| Number of pages | 6 |
| Volume | 2018-July |
| ISBN (Print) | 9781538618547 |
| DOIs | |
| Publication status | Published - 2018 Aug 30 |
| Event | 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018 - Auckland, New Zealand Duration: 2018 Jul 9 → 2018 Jul 12 |
Other
| Other | 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018 |
|---|---|
| Country | New Zealand |
| City | Auckland |
| Period | 18/7/9 → 18/7/12 |
Fingerprint
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications
- Software
Cite this
Tactical-level input with multimodal feedback for unscheduled takeover situations in human-centered automated vehicles. / Manawadu, Udara E.; Hayashi, Hiroaki; Ema, Takaaki; Kawano, Takahiro; Kamezaki, Mitsuhiro; Sugano, Shigeki.
AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018. p. 634-639 8452227.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
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
SN - 9781538618547
VL - 2018-July
SP - 634
EP - 639
BT - AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
PB - Institute of Electrical and Electronics Engineers Inc.
ER -