The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Investigating the importance of social presence on intentions to adopt an AI romantic partner
Abstract
Artificial intelligence (AI) technology has created the possibility of a machine agent serving as a relationship partner. Though this may sound like a radical idea, this type of technology is already available. To understand this new and unique phenomenon, the present study investigates perceptions of an AI romantic partner in a serial multiple mediator model. Based on data collected from male, undergraduate students, the study finds that the perceived social presence of an AI romantic partner leads to greater perceived realism of interacting with the AI, which fosters more favorable attitudes toward the AI. Finally, more favorable attitudes lead to greater intentions to adopt the AI. Collectively, the findings suggest the need to further investigate how people perceive personalized AI agents in relation to their personal and social life.
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“Recent advancements in text-generative AI have produced social chatbots capable of romantic and sexual interactions so sophisticated that users often cannot distinguish them from human conversation partners, enabling these systems to elicit genuine emotional responses and attachment (Skjuve et al., 2021;Kim et al., 2023;Starke et al., 2024).”
From Understanding Human-Chatbot Romance: A Qualitative and Quantitative Study on Romantic Fantasy and Other Interpersonal Characteristics (2025) · cites this paper as Kim et al., 2023
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Cites
Lee, K. M. (2004) · Communication Theory · doi:10.1111/j.1468-2885.2004.tb00302.x · Cited by 1,631
Odekerken-Schröder, G., Mele, C., Russo-Spena, T., Mahr, D., & Ruggiero, A. (2020) · Journal of Service Management · doi:10.1108/josm-05-2020-0148 · Cited by 212
AI companions for lonely individuals and the role of social presence
Merrill, K., Kim, J., & Collins, C. (2022) · Communication Research Reports · doi:10.1080/08824096.2022.2045929 · Cited by 142
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Research works printed but not linked: 28
- 10.1007/s12369-010-0082-7 · DOI
- 10.1162/105474603322761270 · DOI
- 10.1080/10447318.2015.1070549 · DOI
- 10.1177/0093650212450585 · DOI · Paper page
- 10.7551/mitpress/9780262036689.001.0001 · DOI
- 10.1006/imms.1993.1022 · DOI
- Gersen, J. (2019). Sex iex machina: Intimacy and artificial intelligence. Columbia Law Review, 119(7), 1793–1810. https://www.jstor.org/stable/26810849
- Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). The Guilford Press.
- 10.1016/j.ausmj.2017.02.001 · DOI
- 10.1177/0956797617714580 · DOI
- 10.1080/10447318.2016.1275435 · DOI · Paper page
- 10.1016/j.soscij.2018.11.005 · DOI
- 10.1016/j.chb.2022.107383 · DOI
- 10.1080/10447318.2020.1801227 · DOI · Paper page
- 10.1080/10447318.2021.1908671 · DOI
- 10.30658/hmc.4.9 · DOI
- 10.1080/03623319.2022.2027163 · DOI
- 10.1207/S1532785XMEP0701_2 · DOI
- 10.1111/j.1460-2466.2006.00318.x · DOI
- 10.1111/j.1083-6101.1997.tb00072.x · DOI
- Lombard, M., Ditton, T. B., & Weinstein, L. (2009, November). Measuring presence: The temple presence inventory. Proceedings of the International Society for Presence Research Annual Conference, Los Angeles, CA, United States.
- 10.1080/01449299508914636 · DOI
- 10.3390/robotics7030044 · DOI
- 10.1111/j.1752-0606.1981.tb01351.x · DOI
- 10.1080/08824096.2014.924337 · DOI
- 10.1093/hcr/hqac014 · DOI
- 10.3389/frobt.2019.00033 · DOI
- 10.1007/978-3-030-19734-6 · DOI
Cited by
Sorted by citations
Tiwari, C. K., Bhat, M. A., Khan, S. T., Subramaniam, R., & Khan, M. A. I. (2024) · Interactive Technology and Smart Education · doi:10.1108/itse-04-2023-0061 · Cited by 315
Potential and pitfalls of romantic Artificial Intelligence (AI) companions: A systematic review
Ho, J. Q. H., Hu, M., Chen, T. X., & Hartanto, A. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100715 · Cited by 64
Ebner, P., & Szczuka, J. (2025) · arXiv · doi:10.48550/arxiv.2503.00195 · Cited by 33
Metadata
- Authors
- Kim, J., Merrill, K., & Collins, C.
- Affiliations
- University of Central Florida
- University of Cincinnati
- St. Johns River State College
- Venue
- Communication Research Reports
- Publisher
- Informa UK Limited
- Published
- 2023-01
- Volume
- 40
- Issue
- 1
- Pages
- 11-19
- ISSN
- 0882-4096
- 1746-4099
- Cited by
- 24
- References
- 3
- Language
- en
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