新任助教講演会(Lectures from New Assistant Professors)

日時(Datetime)	令和5年6月15日(木)3限 (13:30 -- 15:00), 2023/06/15, Thursday
場所(Location)	エーアイ大講義室(L1)
司会(Chair)	田中宏季(Hiroki Tanaka)

講演者(Presenter)	劉　海龍 (Hailong Liu), ヒューマンロボティクス研究室 (Human Robotics Lab.)
題目(Title)	Challenge in the Interaction between Pedestrians and Autonomous Vehicles
概要(Abstract)	Compared to a manual driving vehicle (MV), an automated driving vehicle lacks a way to communicate with the pedestrian through the driver when it interacts with the pedestrian because the driver usually does not participate in driving tasks. Thus, an external human machine interface (eHMI) can be viewed as a novel explicit communication method for providing driving intentions of an automated driving vehicle (AV) to pedestrians when they need to negotiate in an interaction, e.g., an encountering scene. However, the eHMI may not guarantee that the pedestrians will fully recognize the intention of the AV. In this paper, we propose that the instruction of the eHMI's rationale can help pedestrians correctly understand the driving intentions and predict the behavior of the AV, and thus their subjective feelings (i.e., dangerous feeling, trust in the AV, and feeling of relief) and decision-making are also improved. The results of an interaction experiment in a road-crossing scene indicate that the participants were more difficult to be aware of the situation when they encountered an AV w/o eHMI compared to when they encountered an MV; further, the participants' subjective feelings and hesitation in decision-making also deteriorated significantly. When the eHMI was used in the AV, the situational awareness, subjective feelings and decision-making of the participants regarding the AV w/ eHMI were improved. After the instruction, it was easier for the participants to understand the driving intention and predict driving behavior of the AV w/ eHMI. Further, the subjective feelings and the hesitation related to decision-making were improved and reached the same standards as that for the MV. Please refer to the following links for more information: https://www.researchgate.net/publication/349358826 https://www.researchgate.net/publication/369235392

講演者(Presenter)

劉　海龍 (Hailong Liu), ヒューマンロボティクス研究室 (Human Robotics Lab.)

題目(Title)

Challenge in the Interaction between Pedestrians and Autonomous Vehicles

概要(Abstract)

Compared to a manual driving vehicle (MV), an automated driving vehicle lacks a way to communicate with the pedestrian through the driver when it interacts with the pedestrian because the driver usually does not participate in driving tasks. Thus, an external human machine interface (eHMI) can be viewed as a novel explicit communication method for providing driving intentions of an automated driving vehicle (AV) to pedestrians when they need to negotiate in an interaction, e.g., an encountering scene. However, the eHMI may not guarantee that the pedestrians will fully recognize the intention of the AV. In this paper, we propose that the instruction of the eHMI's rationale can help pedestrians correctly understand the driving intentions and predict the behavior of the AV, and thus their subjective feelings (i.e., dangerous feeling, trust in the AV, and feeling of relief) and decision-making are also improved. The results of an interaction experiment in a road-crossing scene indicate that the participants were more difficult to be aware of the situation when they encountered an AV w/o eHMI compared to when they encountered an MV; further, the participants' subjective feelings and hesitation in decision-making also deteriorated significantly. When the eHMI was used in the AV, the situational awareness, subjective feelings and decision-making of the participants regarding the AV w/ eHMI were improved. After the instruction, it was easier for the participants to understand the driving intention and predict driving behavior of the AV w/ eHMI. Further, the subjective feelings and the hesitation related to decision-making were improved and reached the same standards as that for the MV.

Please refer to the following links for more information:
https://www.researchgate.net/publication/349358826
https://www.researchgate.net/publication/369235392

講演者(Presenter)	平尾　悠太郎(Yutaro Hirao), サイバネティクス・リアリティ工学研究室 (Cybernetics and Reality Engineering Lab.)
題目(Title)	Pseudo-haptics -past, present and future research trends-
概要(Abstract)	Pseudo-haptics technique is a technique that enables the modification of haptic perception by appropriately changing multimodal (mainly visual) feedback to body movements using the interaction of sensory information in the cognitive process. Pseudo-haptics technique has attracted much attention, especially in the fields of virtual reality (VR) and user interfaces, because it can present haptic perception without bulky devices. In this presentation, we will overview the past, present and future research trends of pseudo-haptics technique including my work.