| Project/Area Number |
18F18754
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 外国 |
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| Research Field |
Intelligent robotics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
吉田 英一 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 副研究センター長 (30358329)
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| Co-Investigator(Kenkyū-buntansha) |
HU YUE 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 外国人特別研究員
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| Project Period (FY) |
2018-11-09 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥2,200,000 (Direct Cost: ¥2,200,000)
Fiscal Year 2020: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 2019: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2018: ¥500,000 (Direct Cost: ¥500,000)
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| Keywords | ヒューマン・ロボット・インタラクション / 最適化 / 人間動作解析 |
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| Outline of Annual Research Achievements |
Unanticipated physical actions from the robot on humans (active pHRI, which stands for active physical human-robot interaction) may be inevitable with the deployment of robots in human-populated environments.
However, it is still unclear how humans would perceive such actions and how the robot should execute them in a physically and psychologically safe manner.
The objective of research in FY 2020 is to quantify the humans' physical and mental state during an active physical interaction with a robot, by means of a laboratory experiment.
We hypothesize that the active robot actions could cause measurable alterations in users' data, which could be related to their perceptions and personalities. In the experiment, the user plays a visual game using the robot, which has a hidden task that results in active physical actions on the user. We collect data from physical and physiological sensors, and the perceptions and personalities via questionnaires and a semi-structured interview. Statistical analysis and clustering of the data collected from a total of 35 participants showed relationships between participants' physical and physiological data and their age, gender, perception, and personalities. The outcomes can be used to implement an active pHRI controller that can account for both the physical and the mental state of users.
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| Research Progress Status |
令和2年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
令和2年度が最終年度であるため、記入しない。
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