Data

Research for Ethical Factors Predicting ChatGPT use

Edith Cowan University
Scott Hannah (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25958/26d8-kc70&rft.title=Research for Ethical Factors Predicting ChatGPT use&rft.identifier=10.25958/26d8-kc70&rft.publisher=Edith Cowan University&rft.description=Although ChatGPT was not designed for therapeutic purposes, it is increasingly being used as an accessible source of informal mental health support. However, there is limited empirical evidence regarding users' ethical concerns about privacy, confidentiality, and advice quality, and whether these concerns influence engagement with Artificial Intelligence (AI) mediated mental health support. Our main aim was to investigate whether these ethical concerns predict ChatGPT usage for mental health support. A sample of 256 individuals, predominantly university students, completed self-report measures to assess intentions to use ChatGPT for mental health support and ethical items related to privacy, confidentiality, preference for human support over ChatGPT, and concerns about AI advice. Results indicated that intentions to use ChatGPT, preference for human support over ChatGPT, and privacy concerns significantly predicted classification into the ChatGPT user group (adoption) versus the ChatGPT non-user group (rejection). In addition, two interaction effects showed that privacy and advice concerns moderated the relationship between intentions and ChatGPT use. Specifically, higher privacy and advice concerns reduced the strength of the association between intentions and ChatGPT user-group membership. Notably, the findings indicate ethical factors that may drive the adoption or rejection of ChatGPT for mental health purposes.&rft.creator=Scott Hannah&rft.date=2026&rft.relation=https://doi.org/10.3390/bs15121724&rft_subject=ChatGPT&rft_subject=artificial intelligence&rft_subject=mental health support&rft_subject=privacy and confidentiality&rft_subject=AI ethics&rft_subject=Theory of Planned Behaviour&rft_subject=Artificial Intelligence and Robotics&rft_subject=Communication Technology and New Media&rft_subject=Engineering&rft_subject=Mental and Social Health&rft_subject=Psychiatry and Psychology&rft.type=dataset&rft.language=English Access the data

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Contact Information

Enquiries about the dataset may be sent to Scott Hannah: [email protected]

Full description

Although ChatGPT was not designed for therapeutic purposes, it is increasingly being used as an accessible source of informal mental health support. However, there is limited empirical evidence regarding users' ethical concerns about privacy, confidentiality, and advice quality, and whether these concerns influence engagement with Artificial Intelligence (AI) mediated mental health support. Our main aim was to investigate whether these ethical concerns predict ChatGPT usage for mental health support. A sample of 256 individuals, predominantly university students, completed self-report measures to assess intentions to use ChatGPT for mental health support and ethical items related to privacy, confidentiality, preference for human support over ChatGPT, and concerns about AI advice. Results indicated that intentions to use ChatGPT, preference for human support over ChatGPT, and privacy concerns significantly predicted classification into the ChatGPT user group (adoption) versus the ChatGPT non-user group (rejection). In addition, two interaction effects showed that privacy and advice concerns moderated the relationship between intentions and ChatGPT use. Specifically, higher privacy and advice concerns reduced the strength of the association between intentions and ChatGPT user-group membership. Notably, the findings indicate ethical factors that may drive the adoption or rejection of ChatGPT for mental health purposes.

This dataset is part of a larger collection

Identifiers
ACN 633 798 857