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Human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention
This study examined a serial mediation mechanism to test the effect of chatbots’ human representation on the intention to comply with health recommendations through psychological distance and trust towards the chatbot counselor. The sample of the study comprised 385 adults from the USA. Two artifici...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116459/ https://www.ncbi.nlm.nih.gov/pubmed/37359642 http://dx.doi.org/10.1007/s12144-023-04653-7 |
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author | Park, Gain Chung, Jiyun Lee, Seyoung |
author_facet | Park, Gain Chung, Jiyun Lee, Seyoung |
author_sort | Park, Gain |
collection | PubMed |
description | This study examined a serial mediation mechanism to test the effect of chatbots’ human representation on the intention to comply with health recommendations through psychological distance and trust towards the chatbot counselor. The sample of the study comprised 385 adults from the USA. Two artificial intelligence chatbots either with human or machine-like representation were developed. Participants had a short conversation with either of the chatbots to simulate an online mental health counseling session and reported their experience in an online survey. The results showed that participants in the human representation condition reported a higher intention to comply with chatbot-generated mental health recommendations than those in the machine-like representation condition. Furthermore, the results supported that both psychological distance and perceived trust towards the chatbot mediated the relationship between human representation and compliance intention, respectively. The serial mediation through psychological distance and trust in the relationship between human representation and compliance intention was also supported. These findings provide practical guidance for healthcare chatbot developers and theoretical implications for human-computer interaction research. |
format | Online Article Text |
id | pubmed-10116459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-101164592023-04-25 Human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention Park, Gain Chung, Jiyun Lee, Seyoung Curr Psychol Article This study examined a serial mediation mechanism to test the effect of chatbots’ human representation on the intention to comply with health recommendations through psychological distance and trust towards the chatbot counselor. The sample of the study comprised 385 adults from the USA. Two artificial intelligence chatbots either with human or machine-like representation were developed. Participants had a short conversation with either of the chatbots to simulate an online mental health counseling session and reported their experience in an online survey. The results showed that participants in the human representation condition reported a higher intention to comply with chatbot-generated mental health recommendations than those in the machine-like representation condition. Furthermore, the results supported that both psychological distance and perceived trust towards the chatbot mediated the relationship between human representation and compliance intention, respectively. The serial mediation through psychological distance and trust in the relationship between human representation and compliance intention was also supported. These findings provide practical guidance for healthcare chatbot developers and theoretical implications for human-computer interaction research. Springer US 2023-04-20 /pmc/articles/PMC10116459/ /pubmed/37359642 http://dx.doi.org/10.1007/s12144-023-04653-7 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Park, Gain Chung, Jiyun Lee, Seyoung Human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention |
title | Human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention |
title_full | Human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention |
title_fullStr | Human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention |
title_full_unstemmed | Human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention |
title_short | Human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention |
title_sort | human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116459/ https://www.ncbi.nlm.nih.gov/pubmed/37359642 http://dx.doi.org/10.1007/s12144-023-04653-7 |
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