徳島大学 教育・研究者情報データベース(EDB)

1. 徳島大学.工学部.知能情報工学科.基礎情報工学講座

1. 大坂 京子

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2. (英) Matumoto Kazuyuki

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3. 川西 千恵美

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4. 谷岡 哲也([徳島大学.大学院医歯薬学研究部.保健学域.保健科学部門.看護学系.看護管理学]/[徳島大学.医学部.保健学科.看護学専攻.基礎看護学講座])

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5. 多田 敏子

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6. 上野 修一

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7. ロクシン ロザーノ

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8. 任 福継([徳島大学.大学院社会産業理工学研究部.理工学域.知能情報系.情報工学分野]/[徳島大学.理工学部.理工学科.情報光システムコース.情報工学講座]/->個人[中川 福継])

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(英) REQUIRED PRECISION TO NATURAL LANGUAGE PROCESSING FOR THERAPEUTIC PATIENT-HEALTH CARE PROVIDER COMMUNICATION

(英) It is necessary to approach the caring humans perform by achieving empathetic understanding in human-robot communication and expressing caring feelings for a human-supporting robot. This paper aims at requiring precision to natural language processing for therapeutic patient-health care provider communication. First, our subjects were asked to view a video, which was to induce emotions. And then, an interview was carried out in order to identify the scenes that caused changes in the subjects' emotion. Also, the scenes were objectively judged by measuring the activity of an electroencephalogram (EEG) of the subjects. Finally, the lines of the scenes were extracted and, taking the subjects' impressions of their empathy as a criterion for judgement of natural language processing (NLP), compared with the analysis results by NLP. By our expe! riment, although it was difficult to make a judgment on the impressions in which emotions were intermingled such as joy and sorrow, NLP and the criterion for judgement that was the empathetic understanding of the subjects were consistent. It is clear that an empathetic understanding performed in medical welfare sites should be able to sensitively perceive pain, distress and loneliness of the subjects in particular.

1. (英) natural language processing
2. (英) therapeutic communication
3. (英) human support robot