Constructing multimodal counseling dataset for depressive state and feature analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AMILUG69W" target="_blank" >RIV/00216208:11320/26:MILUG69W - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3711542.3711602" target="_blank" >http://dx.doi.org/10.1145/3711542.3711602</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3711542.3711602" target="_blank" >10.1145/3711542.3711602</a>
Alternative languages
Result language
angličtina
Original language name
Constructing multimodal counseling dataset for depressive state and feature analysis
Original language description
In recent years, depression caused by stress and anxiety has been on the rise worldwide, and the number of people taking leave due to depression and other mental illnesses has been increasing in Japan as well. However, there is a serious shortage of counselors and psychiatrists, making early detection difficult. In this study, for early detection of depression, 25 Japanese university students were interviewed by a professional counselor for about 30 minutes, and a multimodal dataset consisting of text, audio, video, and heart rate data was constructed during the interview. Before and after the interviews, a questionnaire about the subjects' current psychological state was also conducted. The constructed dataset was analyzed by extracting features using GiNZA, OpenSMILE, and OpenFace, and comparing them with the results of the questionnaire. In the future, we plan to conduct interviews with mentally ill subjects and collect data from them. © 2024 Copyright held by the owner/author(s).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
NLPIR - Int. Conf. Nat. Lang. Process. Inf. Retr.
ISBN
979-8-4007-1738-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
388-394
Publisher name
Association for Computing Machinery, Inc
Place of publication
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Event location
Okayama
Event date
Jan 1, 2026
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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