| Item type |
文献 / Documents(1) |
| 公開日 |
2022-08-09 |
| アクセス権 |
|
|
アクセス権 |
open access |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版社版DOI |
|
|
|
関連識別子 |
https://doi.org/10.3390/healthcare10050848 |
|
|
関連名称 |
10.3390/healthcare10050848 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
|
|
タイトル |
Investigation of Methods to Create Future Multimodal Emotional Data for Robot Interactions in Patients with Schizophrenia : A Case Study |
| 著者 |
大坂, 京子
松本, 和幸
アキヤマ, トシヤ
タニオカ, リュウイチ
Betriana, Feni
Zhao, Yueren
カイ, ヨシヒロ
宮川, 操
谷岡, 哲也
ロクシン, ロザーノ デ カストロ
|
| 抄録 |
|
|
内容記述 |
Rapid progress in humanoid robot investigations offers possibilities for improving the competencies of people with social disorders, although this improvement of humanoid robots remains unexplored for schizophrenic people. Methods for creating future multimodal emotional data for robot interactions were studied in this case study of a 40-year-old male patient with disorganized schizophrenia without comorbidities. The qualitative data included heart rate variability (HRV), video-audio recordings, and field notes. HRV, Haar cascade classifier (HCC), and Empath API© were evaluated during conversations between the patient and robot. Two expert nurses and one psychiatrist evaluated facial expressions. The research hypothesis questioned whether HRV, HCC, and Empath API© are useful for creating future multimodal emotional data about robot–patient interactions. The HRV analysis showed persistent sympathetic dominance, matching the human–robot conversational situation. The result of HCC was in agreement with that of human observation, in the case of rough consensus. In the case of observed results disagreed upon by experts, the HCC result was also different. However, emotional assessments by experts using Empath API© were also found to be inconsistent. We believe that with further investigation, a clearer identification of methods for multimodal emotional data for robot interactions can be achieved for patients with schizophrenia. |
| キーワード |
|
|
主題 |
schizophrenia |
| キーワード |
|
|
主題 |
human–robot interaction |
| キーワード |
|
|
主題 |
multimodal data |
| キーワード |
|
|
主題 |
multimodal emotion recognition |
| 書誌情報 |
en : Healthcare
巻 10,
号 5,
p. 848,
発行日 2022-05-05
|
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
22279032 |
| 出版者 |
|
|
出版者 |
MDPI |
| 権利情報 |
|
|
権利情報 |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| EID |
|
|
識別子 |
385485 |
| 言語 |
|
|
言語 |
eng |
healthcare_10_5_848.pdf (1.32 MB)
.png)
