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| Presentation | 2022-12-21 14:10 Application of artificial intelligence techniques to multi-modal data obtained in cognitive behavioral therapy and clinical assessment -- Identification of mental status and estimation of treatment outcomes -- Yuko Shigeeda (NCNP), Takuichi Nishimura (JAIST), Yoshitake Takebayashi (FMU), Jun Kashihara (TU), Seiji Muranaka (OU), Shun Nakajima (NCNP), Shuntaro Aoki (FMU), Chiaki Oshiyama (JAIST), Yoshihiko Kunisato (SU), Daichi Sugawara (ITF), Takumasa Tsuji, Jun'ichi Kotoku (Teikyo), Hitomi Oi, Kaichi Yabe, So Sugita, Noriko Kato, Masaya Ito (NCNP)  AI2022-40 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We are conducting research within the Area of Scientific Transformation (B), "Ultra-high-definition mental health care Through Digital-Human Integration: developing a multi-modal, high-volume, and precision data strategy". This research area makes secondary use of various modal communication data (e.g., conversational and acoustic data) acquired in the context of practical situations in clinical trials to verify the safety and efficacy of cognitive behavioral therapy for depression and anxiety. Artificial intelligence (AI) techniques are then applied to these data to enable us to identify mental states and predict treatment outcomes. Currently, researchers in the field of clinical psychology are mainly involved in this research, but we are seeking collaboration with researchers in other fields to advance this field. By introducing our ongoing efforts at this conference, we hope to obtain advice and opportunities for collaboration from researchers in the information and engineering fields. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Mental/CBT / Depression/Anxiety / Artificial Inteligence / multi-modal / Ontology / Acoustic analysis / NLP / Network analysis | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 322, AI2022-40, pp. 42-45, Dec. 2022. | |
| Paper # | AI2022-40 | |
| Date of Issue | 2022-12-14 (AI) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | AI2022-40 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2022-12-21 - 2022-12-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2022-12-AI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application of artificial intelligence techniques to multi-modal data obtained in cognitive behavioral therapy and clinical assessment |
| Sub Title (in English) | Identification of mental status and estimation of treatment outcomes |
| Keyword(1) | Mental/CBT |
| Keyword(2) | Depression/Anxiety |
| Keyword(3) | Artificial Inteligence |
| Keyword(4) | multi-modal |
| Keyword(5) | Ontology |
| Keyword(6) | Acoustic analysis |
| Keyword(7) | NLP |
| Keyword(8) | Network analysis |
| 1st Author's Name | Yuko Shigeeda |
| 1st Author's Affiliation | National Center of Neurology and Psychiatry (NCNP) |
| 2nd Author's Name | Takuichi Nishimura |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 3rd Author's Name | Yoshitake Takebayashi |
| 3rd Author's Affiliation | FUKUSHIMA MEDICAL UNIVERSITY (FMU) |
| 4th Author's Name | Jun Kashihara |
| 4th Author's Affiliation | Toyo University (TU) |
| 5th Author's Name | Seiji Muranaka |
| 5th Author's Affiliation | Osaka University (OU) |
| 6th Author's Name | Shun Nakajima |
| 6th Author's Affiliation | National Center of Neurology and Psychiatry (NCNP) |
| 7th Author's Name | Shuntaro Aoki |
| 7th Author's Affiliation | FUKUSHIMA MEDICAL UNIVERSITY (FMU) |
| 8th Author's Name | Chiaki Oshiyama |
| 8th Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 9th Author's Name | Yoshihiko Kunisato |
| 9th Author's Affiliation | Senshu University (SU) |
| 10th Author's Name | Daichi Sugawara |
| 10th Author's Affiliation | Tsukuba University (ITF) |
| 11th Author's Name | Takumasa Tsuji |
| 11th Author's Affiliation | Teikyo University (Teikyo) |
| 12th Author's Name | Jun'ichi Kotoku |
| 12th Author's Affiliation | Teikyo University (Teikyo) |
| 13th Author's Name | Hitomi Oi |
| 13th Author's Affiliation | National Center of Neurology and Psychiatry (NCNP) |
| 14th Author's Name | Kaichi Yabe |
| 14th Author's Affiliation | National Center of Neurology and Psychiatry (NCNP) |
| 15th Author's Name | So Sugita |
| 15th Author's Affiliation | National Center of Neurology and Psychiatry (NCNP) |
| 16th Author's Name | Noriko Kato |
| 16th Author's Affiliation | National Center of Neurology and Psychiatry (NCNP) |
| 17th Author's Name | Masaya Ito |
| 17th Author's Affiliation | National Center of Neurology and Psychiatry (NCNP) |
| Speaker | Author-1 |
| Date Time | 2022-12-21 14:10:00 |
| Presentation Time | 20 minutes |
| Registration for | AI |
| Paper # | AI2022-40 |
| Volume (vol) | vol.122 |
| Number (no) | no.322 |
| Page | pp.42-45 |
| #Pages | 4 |
| Date of Issue | 2022-12-14 (AI) |
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