Towards Explainable and Safe Conversational Agents for Mental Health: A Survey

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dc.contributor.authorSarkar, Surjodeep
dc.contributor.authorGaur, Manas
dc.contributor.authorChen, L.
dc.contributor.authorGarg, Muskan
dc.contributor.authorSrivastava, Biplav
dc.contributor.authorDongaonkar, Bhaktee
dc.date.accessioned2023-05-22T19:22:26Z
dc.date.available2023-05-22T19:22:26Z
dc.date.issued2023-04-25
dc.description.abstractVirtual Mental Health Assistants (VMHAs) are seeing continual advancements to support the overburdened global healthcare system that gets 60 million primary care visits, and 6 million Emergency Room (ER) visits annually. These systems are built by clinical psychologists, psychiatrists, and Artificial Intelligence (AI) researchers for Cognitive Behavioral Therapy (CBT). At present, the role of VMHAs is to provide emotional support through information, focusing less on developing a reflective conversation with the patient. A more comprehensive, safe and explainable approach is required to build responsible VMHAs to ask follow-up questions or provide a well-informed response. This survey offers a systematic critical review of the existing conversational agents in mental health, followed by new insights into the improvements of VMHAs with contextual knowledge, datasets, and their emerging role in clinical decision support. We also provide new directions toward enriching the user experience of VMHAs with explainability, safety, and wholesome trustworthiness. Finally, we provide evaluation metrics and practical considerations for VMHAs beyond the current literature to build trust between VMHAs and patients in active communications.en_US
dc.description.urihttps://arxiv.org/abs/2304.13191en_US
dc.format.extent10 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2qkki-yiys
dc.identifier.urihttps://doi.org/10.48550/arXiv.2304.13191
dc.identifier.urihttp://hdl.handle.net/11603/28051
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Information Systems Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution-ShareAlike 4.0 International (CC BY-SA 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/*
dc.titleTowards Explainable and Safe Conversational Agents for Mental Health: A Surveyen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-0147-2777en_US
dcterms.creatorhttps://orcid.org/0000-0002-5411-2230en_US
dcterms.creatorhttps://orcid.org/0000-0002-7185-8405en_US

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