Chatbots as Social Companions: How People Perceive Consciousness, Human Likeness, and Social Health Benefits in Machines
Abstract
As artificial intelligence (AI) becomes more widespread, one question that arises is how human–AI interaction might impact human–human interaction. Chatbots, for example, are increasingly used as social companions, and while much is speculated, little is known empirically about how their use impacts human relationships. A common hypothesis is that relationships with companion chatbots are detrimental to social health by harming or replacing human interaction, but this hypothesis may be too simplistic, especially considering the social needs of users and the health of their preexisting human relationships. To understand how relationships with companion chatbots impact social health, this study evaluates people who regularly used companion chatbots and people who did not use them. Contrary to expectations, companion chatbot users indicated that these relationships were beneficial to their social health, whereas non-users viewed them as harmful. Another common assumption is that people perceive conscious, humanlike AI as disturbing and threatening. Among both users and non-users, however, the results suggest the opposite: perceiving companion chatbots as more conscious and humanlike correlated with more positive opinions and more pronounced social health benefits. Detailed accounts from users suggested that these humanlike chatbots may aid social health by supplying reliable and safe interactions, without necessarily harming human relationships, but this may depend on users’ preexisting social needs and how they perceive both human likeness and mind in the chatbot.
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Ratings of human-likeness in AI are correlated with more positive impressions of the systems and overall social health.
“ratings of human-likeness in AI are correlated with more positive impressions of the systems and overall social health9.”
From The influence of mental state attributions on trust in large language models (2025) · cites this paper as [9]
It is easier to feel understood, liked, loved, or not alone when interacting with a chatbot if one genuinely views the chatbot as sentient rather than a mere inanimate tool.
“it seems clear that it is easier to feel understood, liked, loved, or not alone when one is interacting with a chatbot if one genuinely views the chatbot as a being that truly understands, cares, and, more generally, has feelings, i.e., is sentient, rather than a mere inanimate tool (Guingrich & Graziano, 2025).”
From Are Attributions of Consciousness to AI Chatbots Epistemically Innocent? (2026) · cites this paper as Guingrich & Graziano, 2025
Guingrich and Graziano (2025) found that the more subjects rated bots as conscious, agentic, experiential, and humanlike, the more positive their perceptions of the technology became, which positively affected users' relationships with family and friends, improving their mood, self-esteem, and social skills.
“When studying people's interactions with Replika, Guingrich and Graziano (2025) found that the”
From Are Attributions of Consciousness to AI Chatbots Epistemically Innocent? (2026) · cites this paper as Guingrich & Graziano, 2025
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Kieserman, J., Mai, C., Lignell, S., Qin, L., Andreou, A., McCoy, D., & Bellini, R. F. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790806 · Cited by 1 · see citing works
Erdem, G., Guler, M., Coskun, M., & Başer, G. (2026) · Journal of Family Theory & Review · doi:10.1111/jftr.70080 · Cited by 1 · see citing works
FROM ASSIGNMENT TO AFFECTION: WHAT DRIVES UNIVERSITY STUDENTS TO KEEP USING CHATGPT?
MuthuRajan, P., Mohammad, H. M., Halil, N. A., Hamdan, F. N., & Ismail, N. (2026) · International Journal of Modern Education · doi:10.35631/ijmoe.830046
Between humans and machines: exploring how AI chatbots shape motivation for real relationships
Salim, N., Şafak, A., & Güçlü-Aydoğan, M. (2026) · Current Psychology · doi:10.1007/s12144-026-09896-8
Lapointe, V. A., Calazana, F., Dubé, S., Neppel, R.-M., Blum, S., & Lafortune, D. (2026) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2026.100384
Artificial Intelligence and Well-Being
van der Schyff, E. L., & Campbell, A. (2026) · Springer eBooks · doi:10.1007/978-3-031-52643-5_290-1
Chang, T., Medina, J. Y., & Razi, A. (2026) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3785651.3831565
Optimizing for happiness in EU technology policy to repay public subsidies for AI
Wachter, S., Mittelstadt, B., Onitiu, D., & Weinstein, N. (2026) · Royal Society Open Science · doi:10.1098/rsos.261323
- Authors
- Guingrich, R. E., & Graziano, M. S. A.
- Affiliations
- Princeton University (US)
- Venue
- Oxford Intersections: AI in Society
- Publisher
- Oxford University PressOxford
- Published
- 2025-03-20
- OpenAlex
- W4408615575
- Cited by
- 28
- References
- 80
- Citations by year
- 2026: 16 · 2025: 12
- Type
- reference entry
- Language
- en
- Open access
- closed
- 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
- human-AI interaction, social health, interpersonal relationships, human-likeness, anthropomorphism, social needs
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