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One is the loneliest number two can be as bad as one. The influence of AI Friendship Apps on users' well-being and addiction
Abstract
Although technology advancements provide opportunities for social interactions, reports show that people have never felt so alone and are increasingly adopting AI friendship and therapy‐related well‐being apps. By adopting a mixed‐method approach (i.e., netnography and quantitative survey), we investigate the extent AI friendship apps enhance users' well‐being—and to what extent they further exacerbate issues of using technology for social needs. Findings show that users of AI friendship apps report well‐being benefits from the relationship with the AI friend and, at the same time, find themselves being addicted to using the app. Specifically, we show that users' loneliness and fear of judgment, together with AI sentience and perceived well‐being gained, increase addiction to the app, while AI ubiquity and warmth reduce it. Taken together, the results show that despite the intended positive purpose of the apps, the negative effects that AI friendship apps have on well‐being may be much greater.
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High levels of social well-being are associated with positive mental health outcomes, including lower loneliness, greater life satisfaction, and increased emotional stability.
“High levels of social well-being are associated with positive mental health outcomes, including lower loneliness, greater life satisfaction, and increased emotional stability (Marriott and Pitardi, 2024).”
From I love you, my AI companion! Do you? Perspectives from the Triangular Theory of Love and Attachment Theory (2026) · cites this paper as Marriott and Pitardi, 2024
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Metadata
- Authors
- Marriott, H. R., & Pitardi, V.
- Affiliations
- Department of Marketing & Strategy, Cardiff Business School Cardiff University Cardiff UK
- Department of Marketing, Surrey Business School University of Surrey Surrey UK
- Venue
- Psychology & Marketing
- Publisher
- Wiley
- Published
- 2023-09-18
- Volume
- 41
- Issue
- 1
- Pages
- 86-101
- ISSN
- 0742-6046
- 1520-6793
- Cited by
- 146
- References
- 16
- Language
- en
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