Should ChatGPT Write Your Breakup Text? Exploring the Role of AI in Relationship Dissolution

Relationships are essential to our happiness and wellbeing, yet their dissolution-the final stage of a relationship's lifecycle-is among the most stressful events individuals can experience, often leading to profound and lasting impacts. With the breakup process increasingly facilitated by technology, such as computer-mediated communication, and the likely future influence of generative AI tools, we conducted a semi-structured interview study with 21 participants. We aim to understand: 1) the current role of technology in the breakup process, 2) the needs and support individuals seek during this time, and 3) how GenAI might address or undermine these needs. Our findings show that people have distinct needs at various stages of breakups. While currently technology plays an important role, it falls short in supporting users' unmet needs. Participants envision that GenAI could: 1) aid in prompting self-reflection, providing neutral second opinions, and assisting with planning leading up to a breakup; 2) serve as a communication mediator, supporting wording and tone to facilitate emotional expression during breakup conversations; and 3) support personal growth and offer companionship after a breakup. However, our findings also reveal participants' various concerns about involving GenAI in this process. Based on our results, we discuss the potential opportunities, harms, and design implications of GenAI tools in facilitating people's relationship dissolution.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757424
Citations
2
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
3.09
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article

Should ChatGPT Write Your Breakup Text? Exploring the Role of AI in Relationship Dissolution

Yue Fu, Yixin Chen, Alexis Hiniker, Zelia Gomes Da Costa Lai
2 citations
Proceedings of the ACM on Human-Computer Interaction
Digital Mental Health Interventions
3.09
article

Should ChatGPT Write Your Breakup Text? Exploring the Role of AI in Relationship Dissolution

Yue Fu, Yixin Chen, Alexis Hiniker, Zelia Gomes Da Costa Lai
article en
2 citations

Abstract

Relationships are essential to our happiness and wellbeing, yet their dissolution-the final stage of a relationship's lifecycle-is among the most stressful events individuals can experience, often leading to profound and lasting impacts. With the breakup process increasingly facilitated by technology, such as computer-mediated communication, and the likely future influence of generative AI tools, we conducted a semi-structured interview study with 21 participants. We aim to understand: 1) the current role of technology in the breakup process, 2) the needs and support individuals seek during this time, and 3) how GenAI might address or undermine these needs. Our findings show that people have distinct needs at various stages of breakups. While currently technology plays an important role, it falls short in supporting users' unmet needs. Participants envision that GenAI could: 1) aid in prompting self-reflection, providing neutral second opinions, and assisting with planning leading up to a breakup; 2) serve as a communication mediator, supporting wording and tone to facilitate emotional expression during breakup conversations; and 3) support personal growth and offer companionship after a breakup. However, our findings also reveal participants' various concerns about involving GenAI in this process. Based on our results, we discuss the potential opportunities, harms, and design implications of GenAI tools in facilitating people's relationship dissolution.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
University of Washington (US)
Openalex Percentile: Top 7%
Digital Mental Health Interventions
3.09
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Should ChatGPT Write Your Breakup Text? Exploring the Role of AI in Relationship Dissolution — Yue Fu, Yixin Chen, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS