ArticleCommunity mental health journal2026
Perspectives of People with Serious Mental Illness on Artificial Intelligence-Based Companions: "If no one told you I love you today, you have someone that cares for you."
Article in Community mental health journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is reshaping healthcare by enhancing clinical decision making, communication, and patient monitoring systems. Still, it is essential that these technologies lessen, rather than deepen, feelings of loneliness. This study centers the perspectives of individuals with serious mental illnesses, such as schizophrenia spectrum disorder, bipolar disorder, and major depressive disorder, to explore how they interpret and engage with conversational and companion-based AI in healthcare settings. By examining their perspectives, expectations, and concerns, the study highlights design factors that shape the perceived trustworthiness of AI tools. A secondary analysis of three focus groups was conducted across three supportive housing facilities in New York City, where qualitative data was subsequently collected, transcribed, and analyzed using RADar analysis. This study determined that participants expressed strong concerns about data privacy and misuse, but also recognized AI's potential to support reminders, mental health, and daily functioning. Trust in AI increased when tools were personalized, human-centered, and co-developed with people who understand lived experiences of serious mental illnesses. However, concerns remained about loss of critical thinking and overreliance. By emphasizing the lived experiences of adults with serious mental illness, this study identifies the factors that influence how they trust, use, and engage with AI in mental health care. These insights can guide the development of AI tools for individuals with serious mental illnesses.
Indexed as
Identifiers
42789145What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.