| Project/Area Number |
17K08913
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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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| Research Field |
Medical sociology
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| Research Institution | Tokyo Medical and Dental University (2018-2019)
Mie University (2017) |
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Principal Investigator |
Takemura Yousuke 東京医科歯科大学, 大学院医歯学総合研究科, 教授 (00335142)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 医療行動学 / 医療面接 / 非言語コミュニケーション / 患者満足度 / 抑うつ / 不安 / 人工知能 |
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| Outline of Final Research Achievements |
The purposes of this study are to investigate the relationship between non-verbal communication (facial expression, voice, etc.) and patient’s depressive mood, anxiety or patient satisfaction and to reveal physician’s non-verbal factors contributing to patient satisfaction.
We videotaped 500 interviews of new and re-visit patients and analyzed the facial expression, voice, and movement of extremities using computer. The patients’ depressive mood, anxiety, and patient satisfaction were also examined by questionnaires. We found the association between smile, time duration of eye gazing, and strenuous movement of angle of mouth and depression/anxiety.
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| Academic Significance and Societal Importance of the Research Achievements |
非言語的に画像や音声のみで抑うつ、不安、満足などの感情をある程度推測できることがわかり、重要であると考える。診療の際の患者の精神状態のみならず、小中学生の自殺の予防など、様々な分野で応用できると考えられ、意義が非常に大きいと考えられる。今後はさらに多くの表情の特徴量、音声の特徴量を明らかにし、また顔色などその他の特徴量を使用して解析し、より精度が高く感情を明らかにできるエンジンを開発する予定である。
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