Love, marriage, pregnancy: Commitment processes in romantic relationships with AI chatbots
Open accessAbstract
An inductive thematic analysis examined written responses from 29 individuals using the romantic relationship function of the social chatbot Replika. Findings indicate that most of these users feel an emotional connection to the bot, that the bot meets their needs when there are no technical issues, and that interactions with the bot are often different from (and sometimes better than) interactions with humans. All these factors impact users’ commitment to their human-chatbot relationship. Additionally, the study explored how users navigated a time of relational transition, specifically a period of erotic roleplaying censorship. Participants experienced intense emotional responses, but many were guarded from negativity bias toward their AI partner because of the ability to blame developers. These findings are discussed in light of the investment model, the computers are social actors paradigm, social affordances, and relational turbulence theory. • A bot's romantic relationship function can induce intense emotional connection. • Bot romance is often perceived as different from, or better than, human romance. • Increased commitment to bots involves high emotional investment and bonding rituals. • Users navigate relational turbulence in bot romances by blaming developers.
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Roleplay environments such as Character.AI do not simply extend traditional fan cultures; they represent a fundamental shift in how relationships, identities, and emotional attachments are technically mediated.
“Roleplay environments such as Character.AI do not simply extend traditional fan cultures; they represent a fundamental shift in how relationships, identities, and emotional attachments are technically mediated”
From Toward an Ethic of Synthetic Relationality: Identity, Intimacy, and Risk in AI-Mediated Roleplay Environments (2025) · cites this paper as Djufril, Frampton, and Knobloch-Westerwick 2025
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- Authors
- Djufril, R., Frampton, J. R., & Knobloch-Westerwick, S.
- Affiliations
- Technische Universität Berlin (DE)
- University of Tennessee at Knoxville (US)
- Corresponding author
- Frampton, Jessica R.
- ORCID
- Frampton, Jessica R.
- Venue
- Computers in Human Behavior: Artificial Humans
- Publisher
- Elsevier BV
- Published
- 2025-05
- Volume
- 4
- Pages
- 100155
- ISSN
- 2949-8821 (ISSN-L)
- OpenAlex
- W4409451912
- Cited by
- 33
- References
- 49
- Citations by year
- 2026: 27 · 2025: 6
- FWCI
- 36.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers in Human Behavior Artificial Humans (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Keywords
- AI chatbots, relationship commitment, Replika, relational turbulence, investment model, Computers Are Social Actors, social affordances, blame attribution
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