Digital Mirrors: AI Companions and the Self
Open accessAbstract
This exploratory study examines the socio-technical dynamics of Artificial Intelligence Companions (AICs), focusing on user interactions with AI platforms like Replika 9.35.1. Through qualitative analysis, including user interviews and digital ethnography, we explored the nuanced roles played by these AIs in social interactions. Findings revealed that users often form emotional attachments to their AICs, viewing them as empathetic and supportive, thus enhancing emotional well-being. This study highlights how AI companions provide a safe space for self-expression and identity exploration, often without fear of judgment, offering a backstage setting in Goffmanian terms. This research contributes to the discourse on AI’s societal integration, emphasizing how, in interactions with AICs, users often craft and experiment with their identities by acting in ways they would avoid in face-to-face or human-human online interactions due to fear of judgment. This reflects front-stage behavior, in which users manage audience perceptions. Conversely, the backstage, typically hidden, is somewhat disclosed to AICs, revealing deeper aspects of the self.
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Users cannot meaningfully navigate risk if they do not understand what kind of relational system they are entering.
“Users cannot meaningfully navigate risk if they do not understand what kind of relational system they are entering (Kouros and Papa 2024).”
From Toward an Ethic of Synthetic Relationality: Identity, Intimacy, and Risk in AI-Mediated Roleplay Environments (2025) · cites this paper as Kouros and Papa 2024
The transparency discussion in §3.4.1 reports that users want to know how conversational AI works and handles their data, and that insufficient transparency undermines trust. The Conclusions also urge awareness of AI companionship’s limitations and risks. The paper does not establish the stronger claim that users cannot meaningfully navigate risk without understanding the relational system they are entering. (LLM, conf=0.82)
Experimental — accuracy not yet measuredAI companions provide a 'backstage' space where users feel free to disclose emotionally salient aspects of the self, facilitating identity work that might be too risky in face-to-face or human-human online interactions.
“In Goffmanian terms, AI companions provide a”
From Toward an Ethic of Synthetic Relationality: Identity, Intimacy, and Risk in AI-Mediated Roleplay Environments (2025) · cites this paper as Kouros and Papa 2024
The appeal of AI agents as companions lies in their consistency and perceived non-judgmentality.
“The appeal of AI agents as companions lies in their consistency and perceived non-judgmentality [27, 40, 55]”
From Emotional Coregulation in Close Relationships with AI Agents: A Survey of ChatGPT and Replika Users (2025) · cites this paper as [27]
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- Authors
- Kouros, T., & Papa, V.
- Affiliations
- Cyprus University of Technology (CY)
- Corresponding author
- Kouros, Theodoros
- Venue
- Societies
- Publisher
- MDPI AG
- Published
- 2024-10-08
- Volume
- 14
- Issue
- 10
- Pages
- 200
- ISSN
- 2075-4698 (ISSN-L)
- OpenAlex
- W4403216264
- Cited by
- 66
- References
- 39
- Citations by year
- 2026: 46 · 2025: 20
- FWCI
- 31.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Societies (publishedVersion, cc-by)
- Ktisis at Cyprus University of Technology (Cyprus University of Technology) (submittedVersion, public-domain)
- RePEc: Research Papers in Economics (submittedVersion)
- 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 › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- AI companions, Replika, human-AI interaction, emotional attachment to AI, identity exploration, self-expression, Erving Goffman, audience management, fear of judgment, emotional well-being, digital mirror
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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