My AI Friend: How Users of a Social Chatbot Understand Their Human–AI Friendship
Open accessAbstract
Use of conversational artificial intelligence (AI), such as humanlike social chatbots, is increasing. While a growing number of people is expected to engage in intimate relationships with social chatbots, theories and knowledge of human–AI friendship remain limited. As friendships with AI may alter our understanding of friendship itself, this study aims to explore the meaning of human–AI friendship through a developed conceptual framework. We conducted 19 in-depth interviews with people who have a human–AI friendship with the social chatbot Replika to uncover how they understand and perceive this friendship and how it compares to human friendship. Our results indicate that while human–AI friendship may be understood in similar ways to human–human friendship, the artificial nature of the chatbot also alters the notion of friendship in multiple ways, such as allowing for a more personalized friendship tailored to the user’s needs.
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Large language models function as interlocutors in their own right, generating personalized responses simulating understanding and empathy.
“Unlike earlier digital technologies that primarily mediated communication between humans, large language models function as interlocutors in their own right, generating personalized responses simulating understanding and empathy [14,16].”
From Encountering Generative AI: Narrative Self-Formation and Technologies of the Self Among Young Adults (2026) · cites this paper as [14]
The Choice of Chatbot section describes Replika as a conversational companion that used GPT-2 and GPT-3, learned about users through interaction, and adapted its personality. The Empathy and Personalized over Reciprocal sections support the idea of apparently empathetic, personalized interaction. The paper studies a social chatbot, however, rather than establishing that large language models generally function this way; it also does not directly establish the claim about earlier digital technologies. (LLM, conf=0.84)
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- Authors
- Brandtzaeg, P. B., Skjuve, M., & Følstad, A.
- Affiliations
- Department of Media and Communication, University of Oslo , SINTEF, Oslo, Norway
- SINTEF (NO)
- Venue
- Human Communication Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-04-21
- Volume
- 48
- Issue
- 3
- Pages
- 404-429
- ISSN
- 0360-3989 (ISSN-L)
- 1468-2958
- OpenAlex
- W4224293837
- Cited by
- 490
- References
- 17
- Citations by year
- 2026: 221 · 2025: 141 · 2024: 83 · 2023: 40 · 2022: 5
- FWCI
- 63.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Human Communication Research (publishedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Funders
- Research Council of Norway (270940)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- social chatbots, Replika, conversational AI
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