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WMGPT: Towards 24/7 Online Prime Counseling with ChatGPT

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dc.contributor.authorCaceres Najarro, Lismer Andres-
dc.contributor.authorLee, Yonggeon-
dc.contributor.authorToshnazarov, Kobiljon E.-
dc.contributor.authorJang, Yoonhyung-
dc.contributor.authorKim, Hyungsook-
dc.contributor.authorNoh, Youngtae-
dc.date.accessioned2023-11-24T03:08:08Z-
dc.date.available2023-11-24T03:08:08Z-
dc.date.created2023-11-14-
dc.date.issued2023-10-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/192905-
dc.description.abstractTraditional in-person counseling encounters limitations in terms of accessibility, flexibility, and social stigma. Additionally, low mental health literacy and embarrassment among individuals hinder help-seeking behavior. Meanwhile, the introduction of more sophisticated sensors embedded in ubiquitous devices such as smartphones and smartwatches, and the release of a powerful large language model, i.e., chatGPT, create new opportunities to address the existing limitations of traditional counseling services. In that regard, we propose WMGPT, a system that offers round-the-clock mental health counseling services. By leveraging continuous analysis of user context and digital phenotype, WMGPT delivers personalized counseling support. Through 24/7 passive monitoring, it continuously assesses individuals' mental state, initiates conversations on their behalf, and potentially triggers counseling services. These specialized counseling services are facilitated by a fine-tuned chatGPT model. WMGPT presents a promising solution to overcome the limitations of traditional counseling by providing accessible, personalized, and timely mental health support, paving the way for a convenient and effective service for improving well-being.-
dc.language영어-
dc.language.isoen-
dc.publisherAssociation for Computing Machinery, Inc-
dc.titleWMGPT: Towards 24/7 Online Prime Counseling with ChatGPT-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Hyungsook-
dc.identifier.doi10.1145/3594739.3610708-
dc.identifier.scopusid2-s2.0-85175470021-
dc.identifier.bibliographicCitationUbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing, pp.142 - 145-
dc.relation.isPartOfUbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing-
dc.citation.titleUbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing-
dc.citation.startPage142-
dc.citation.endPage145-
dc.type.rimsART-
dc.type.docTypeConference paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusChatGPT-
dc.subject.keywordPlusCounseling-
dc.subject.keywordPlusHealth literacy-
dc.subject.keywordPlusHelp seeking-
dc.subject.keywordPlusLanguage model-
dc.subject.keywordPlusMental health-
dc.subject.keywordPlusRound-the-clock-
dc.subject.keywordPlusSmart phones-
dc.subject.keywordPlusUbiquitous devices-
dc.subject.keywordPlusWell-mind-
dc.subject.keywordAuthorChatGPT-
dc.subject.keywordAuthorcounseling-
dc.subject.keywordAuthormental-health-
dc.subject.keywordAuthorround-the-clock-
dc.subject.keywordAuthorwell-mind-
dc.identifier.urlhttps://dl.acm.org/doi/10.1145/3594739.3610708-
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