2022 Fiscal Year Final Research Report
Indirect detection of small changes of surrounding persons based on unconscious awareness detection
| Project/Area Number |
18K11383
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 61010:Perceptual information processing-related
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| Research Institution | University of Hyogo (2020-2022)
Ritsumeikan University (2018-2019) |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
桑原 教彰 京都工芸繊維大学, 情報工学・人間科学系, 教授 (60395168)
米澤 朋子 関西大学, 総合情報学部, 教授 (90395161)
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| Project Period (FY) |
2018-04-01 – 2023-03-31
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| Keywords | 内部状態推定 / 視線 / 顔表情 / 生体計測 / 触覚 |
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| Outline of Final Research Achievements |
In this study, we focused on two situations: a situation in which the listener participant is concentrating on the presentation (concentration condition) and a situation in which the listener participant pretends to be concentrating but is not actually concentrating on the presentation (non-concentration condition), and aimed to construct an estimation model of concentration/non-concentration. The data obtained in the experiments showed that there were differences in the movements of the upper body, face, and gaze in the conditions of concentration and non-concentration. Currently, we are conducting experiments toward constructing an estimation model.
We have also studied internal state estimation through interaction from robots to humans, gaze estimation as a basic technique for internal state estimation, and internal state estimation (visual cognition estimation and awareness) using gaze and biosignals.
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| Free Research Field |
知覚情報処理
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では，集中している振りをしながら，実際には対話には集中していないといった，微小な変化の推定を目指し研究を進めてきた．これまでに，集中時・非集中時の間で，いくつかの行動の違いが生じていることを確認できており，今後，推定モデルが構築できれば，教育支援や高齢者の見守りなど，様々な応用につながる．
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