Constructing multimodal counseling dataset for depressive state and feature analysis

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Constructing multimodal counseling dataset for depressive state and feature analysis

Popis výsledku v původním jazyce

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).

Název v anglickém jazyce

Constructing multimodal counseling dataset for depressive state and feature analysis

Popis výsledku anglicky

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).

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

NLPIR - Int. Conf. Nat. Lang. Process. Inf. Retr.

ISBN

979-8-4007-1738-3

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

388-394

Název nakladatele

Association for Computing Machinery, Inc

Místo vydání

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Místo konání akce

Okayama

Datum konání akce

1. 1. 2026

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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