Rewriting the Self: User Perceptions of AI-Mediated Cognitive Reframing

Individuals are increasingly using AI for psychological support. One specific paradigm, AI-mediated cognitive reframing (AIM-CR), uses AI to automatically reframe users' negative thoughts ("I failed...") into more adaptive perspectives ("I am learning..."). While prior work suggests that AIM-CR tools reduce users' negative emotions, the complexities of AI automatically modifying users' personal narratives remain underexplored. In this work, we investigated these complexities through a mixed-methods study in which 28 participants engaged with an AIM-CR tool that reframed narratives about their stressors. Our findings suggest that participants had mixed perceptions of AIM-CR: although reframing reduced negative emotions for most participants, participants felt less ownership of, and less authenticity in, the reframed narratives. Participants perceived AIM-CR as a validating "mirror," as "another self" that could motivate or alienate them, or as an external social actor. These perceptions shaped therapeutic dynamics. We conclude by discussing design implications for future AIM-CR tools to better preserve user agency in narrative co-construction and more effectively support mental health and well-being.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-26
DOI
https://doi.org/10.48550/arxiv.2610.34647
Primary Topic
Digital Mental Health Interventions
Type
preprint
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preprint

Rewriting the Self: User Perceptions of AI-Mediated Cognitive Reframing

Anna Van Meter, Tanzeem Choudhury, Olzhas Yessenbayev, Daniel A. Adler et al.
arXiv (Cornell University)
Digital Mental Health Interventions
preprint

Rewriting the Self: User Perceptions of AI-Mediated Cognitive Reframing

Anna Van Meter, Tanzeem Choudhury, Olzhas Yessenbayev, Daniel A. Adler, Yuewen Yang
preprint en

Abstract

Individuals are increasingly using AI for psychological support. One specific paradigm, AI-mediated cognitive reframing (AIM-CR), uses AI to automatically reframe users' negative thoughts ("I failed...") into more adaptive perspectives ("I am learning..."). While prior work suggests that AIM-CR tools reduce users' negative emotions, the complexities of AI automatically modifying users' personal narratives remain underexplored. In this work, we investigated these complexities through a mixed-methods study in which 28 participants engaged with an AIM-CR tool that reframed narratives about their stressors. Our findings suggest that participants had mixed perceptions of AIM-CR: although reframing reduced negative emotions for most participants, participants felt less ownership of, and less authenticity in, the reframed narratives. Participants perceived AIM-CR as a validating "mirror," as "another self" that could motivate or alienate them, or as an external social actor. These perceptions shaped therapeutic dynamics. We conclude by discussing design implications for future AIM-CR tools to better preserve user agency in narrative co-construction and more effectively support mental health and well-being.

arXiv (Cornell University)
Digital Mental Health Interventions
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Rewriting the Self: User Perceptions of AI-Mediated Cognitive Reframing — Anna Van Meter, Tanzeem Choudhury, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS