Social companionship with artificial intelligence: Recent trends and future avenues
Open accessAbstract
The social companionship (SC) feature in conversational agents (CAs) enables the emotional bond and consumer relationships. The heightened interest in SC with CAs led to exponential growth in publications scattered across disciplines with fragmented findings, thus limiting holistic understanding of the domain and warrants a macroscopic view of the domain to guide future research directions. The present study fills the research void by offering a comprehensive literature review entailing science performance and intellectual structure mapping. The comprehensive review revealed the research domain's major theories, constructs, and thematic structure. Thematic and content analysis of intellectual structure resulted in a conceptual framework encompassing antecedents, mediators, moderators, and consequences of SC with CAs. The study discusses future research directions guiding practitioners and academicians in designing efficient and ethical AI companions.
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Outcomes depend on specific mediators-perceived empathy, platform transparency, and ethical design-that shape whether companionship strengthens or undermines user wellbeing.
“Outcomes depend on specific mediators, such as perceived empathy, platform transparency, and ethical design, that shape whether companionship strengthens or undermines user wellbeing (Chaturvedi et al. 2023).”
From Toward an Ethic of Synthetic Relationality: Identity, Intimacy, and Risk in AI-Mediated Roleplay Environments (2025) · cites this paper as Chaturvedi et al. 2023
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“Recent research on chatbots and conversational agents highlights how users may experience a sense of being heard or accompanied through sustained interaction, particularly when human support is unavailable or difficult to access [20, 21, 57, 62, 71].”
- Authors
- Chaturvedi, R., Verma, S., Das, R., & Dwivedi, Y. K.
- Affiliations
- Indian Institute of Management Mumbai (IN)
- Audencia Business School (FR)
- Symbiosis International University (IN)
- Corresponding author
- Dwivedi, Yogesh K.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 193
- Pages
- 122634
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W4377136808
- Cited by
- 244
- References
- 34
- Citations by year
- 2026: 110 · 2025: 83 · 2024: 37 · 2023: 14
- FWCI
- 22.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Technological Forecasting and Social Change (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Cronfa (Swansea University) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- social companionship, chatbots, AI companions, human-AI relationship, affective bonds, consumer relations, AI ethics, conceptual framework
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