Leveraging ChatGPT for Human Behavior Assessment: Potential Implications for Mental Health Care
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96547" target="_blank" >RIV/60460709:41110/23:96547 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s10439-023-03269-z" target="_blank" >https://doi.org/10.1007/s10439-023-03269-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10439-023-03269-z" target="_blank" >10.1007/s10439-023-03269-z</a>
Alternative languages
Result language
angličtina
Original language name
Leveraging ChatGPT for Human Behavior Assessment: Potential Implications for Mental Health Care
Original language description
This letter explores the capability of AI, specifically OpenAI's ChatGPT, in interpreting human behavior and its potential implications for mental health care. Data were collected from the Reddit forum "AmItheAsshole" (AITA) to assess the congruence between AI's verdict and the collective human opinion on this platform. AITA, with its vast range of interpersonal situations, provides rich insights into human behavioral evaluation and perception. Two key research questions were addressed: the degree of alignment between ChatGPT's judgment and collective verdicts of Redditors, and the consistency of ChatGPT in evaluating the same AITA post repeatedly. The results exhibited a promising level of agreement between ChatGPT and human verdicts. It also demonstrated high consistency across repeated evaluations of the same posts. These findings hint at the significant potential of AI in mental health care provision, underscoring the importance of continued research and development in this field.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ANNALS OF BIOMEDICAL ENGINEERING
ISSN
0090-6964
e-ISSN
0090-6964
Volume of the periodical
51
Issue of the periodical within the volume
11
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
3
Pages from-to
2362-2364
UT code for WoS article
001004702000001
EID of the result in the Scopus database
2-s2.0-85161411652