Impact of media dependence: how emotional interactions between users and chat robots affect human socialization?
Open accessAbstract
In the era of intelligent media, human users and chatbots have established a deep dependency relationship through communication, making media dependence a behavioral foundation that widely permeates human social practice. This article investigates how media dependence affects human social interaction during emotional interactions between human users and chatbots. Based on the theory of media dependence, the existing mature scales of media dependence and interpersonal communication were adapted, and 496 Replika user questionnaires were collected. After screening the validity of the questionnaires, 428 valid questionnaires were obtained. Descriptive statistical analysis, correlation analysis, multiple linear regression analysis, and mediation effect testing were used to analyze the impact of media dependence on human–computer emotional interaction. Results indicate a significant positive correlation between human–chatbot emotional interaction and human user social interaction. Media dependence significantly positively regulates emotional interactions between humans and chatbots. In addition, the social interactions of human users are partially influenced by factors such as user nature, age, education, and income.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Emotionality in interactions between users and chatbots predicts LLM-CB dependence.
“Yuan et al. found that emotionality in interactions between users and chatbots predicted LLM-CB dependence120.”
From A scoping review on the mental health harms of LLM-based chatbots (2026) · cites this paper as [120]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Mass Communication and Para-Social Interaction
Horton, D., & Richard Wohl, R. (1956) · Psychiatry · doi:10.1080/00332747.1956.11023049 · Cited by 4,380 · see citing works
Kim, J., LaRose, R., & Peng, W. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0327 · Cited by 781 · see citing works
Acceptance and Commitment Therapy as a Unified Model of Behavior Change
Hayes, S. C., Pistorello, J., & Levin, M. E. (2012) · The Counseling Psychologist · doi:10.1177/0011000012460836 · Cited by 718 · see citing works
Croes, E. A. J., & Antheunis, M. L. (2021) · Journal of Social and Personal Relationships · doi:10.1177/0265407520959463 · Cited by 291 · see citing works
Psychoanalyzing artificial intelligence: the case of Replika
Possati, L. M. (2023) · AI & SOCIETY · doi:10.1007/s00146-021-01379-7 · Cited by 65 · see citing works
Flagged first, then by citations
Research works printed but not linked: 27
- Auter P. J. Palmgreen P. (2000). Development and validation of a Parasocial interaction measure: the audience-persona interaction scale. Commun. Res. Rep. 17, 79– 89. doi: 10.1080/08824090009388753 · DOI
- Collins (2009). Interactive ritual chain. Translated by Lin Juren et al., vol. 104. Beijing: The Commercial Press.
- David L. (2007). Love and sex with robots: the evolution of human-robot relationships, vol. 2007. New York: Harper Collins e-books, 113.
- Dominique M. (2010). The geopolitics of emotion, vol. 2010. Beijing: Xinhua Press, 99– 123.
- Ge J. P. (2017). Development of quasi-social relationship Gottman scale. Statistics Decision 2017, 19– 22. doi: doi: 10.13546/j.cnki.tjyjc.2017.08.004 · DOI
- Grant A. E. Guthrie K. K. Ball-Rokeach S. J. (1991). Television shopping: a media system dependency perspective. Commun. Res. 18, 773– 798. doi: 10.1177/009365091018006004 · DOI
- Guo Q. G. (2011). Course of communication studies, vol. 2011. Beijing: China Renmin University Press, 126.
- Han X. Zhang H. Z. He K. Ma S. Y. (2021). The masking effect of media dependence: does the higher the degree of quasi-social interaction between users and social robots, the more lonely they feel? Lancet. J. Int. Press. 2021, 25– 48.
- He Q. H. Zhu Y. T. (2024). An analysis of short video use behavior of rural left-behind women from the perspective of media dependence: A case study of X Village in eastern Jiangsu Province, J. Shanxi Univ. (Soci. Sci. Ed.), 23, 117– 124. doi: 10.13842/j.cnki.issn1671-816X.2024.01.012 · DOI
- Jiang Z. J. (2022). Social network, media dependence and subjective well-being of the elderly: An empirical study based on the COVID-19 epidemic. J. Modern Trans. 44, 161– 168. doi: 10.19997/j.cnki.xdcb.2022.07.004 · DOI
- Kang J.X. (2023). Function, scene and role: the reconstruction of family life by smart speakers from the perspective of man-machine communication. Spread Sci. Technol. 13, 84– 86+ 91. doi: 10.16607/j.cnki.1674-6708.2023.13.025 · DOI
- Kourkoulou D. (2023). Replika AI: technological affect and general AI imaginations. Int. J. Commun. Linguistic Stud. 21, 73– 86. doi: 10.18848/2327-7882/CGP/v21i02/73-86 · DOI
- Kwon M. Kim D. J. Cho H. Yang S. (2013). The smartphone addiction scale: development andvalidation of a short version for adolescents. PLoS One 8: 8(12). doi: 10.1371/journal.pone.0083558 PMC3877074 24391787 · DOI · Paper page
- Li L. Zhao Z. (2023). Designing behaviors of robots based on the artificial emotion expression method in human–robot interactions. Mach. Des. 11: 533. doi: 10.3390/machines11050533 · DOI
- Lin Y. J. (2020). Research on short video audience under media system dependence. Friends Editor 2020, 74– 78. doi: 10.13786/j.cnki.cn14-1066/g2.2020.7.012 · DOI
- Orchard T. Tasiemski L. (2023). The rise of generative AI and possible effects on the economy. Econ. Business Rev. 9, 9– 26. doi: 10.18559/ebr.2023.2.732 · DOI
- Peters J. D. (2015). The marvelous clouds: Toward a philosophy of elemental media. Chicago: The University of Chicago Press, p. 274.
- Sandra B. K. Zheng Z. Y. Wang B. (2004). From "media system dependence" to "communication organism" -- development review and new concept of "media system dependence theory". International Press 2004, 9– 12.
- Sven N. Lily E. F. (2017). “ From sex robots to love robots: is mutual love with a robot possible?” in Robot sex: social and ethical implications, vol. 2017 (Massachusetts: MIT Press), 236.
- Verbeek P. P. (2011). Moralizing technology; understanding and designing the morality of things. Chicago and London: University of Chicago Press, 164– 165.
- Wang C. Q. Fu Y. S. (2016). Social media for university students to study the impacts of real interpersonal. Modern Educ. Sci. 9, 104– 109. doi: 10.13980/j.cnki.xdjykx.2016.09.019 · DOI
- Wei J. X. (2012). From the standpoint of history of media, weibo impact on interpersonal relationships. Press Circles 2012, 43– 46. doi: 10.15897/j.carolcarrollnkicn51-1046/g2.2012.17.014 · DOI
- Whitby B. (2008). Sometimes it’s hard to be a robot: a call for action on the ethics of abusing artificial agents. Interact. Comput. 20, 326– 333. doi: 10.1016/j.intcom.2008.02.002 · DOI
- Xie X. Z. (2004). An empirical study of "media dependence" theory in the internet environment. J. Shijiazhuang Univ. Econ. 2, 218– 224. doi: 10.13937/j.cnki.sjzjjxyxb.2004.02.027 · DOI
- Zeng Y. G. Cao J. (2023). "Cyberlover": the establishment of man-machine intimate relationship and its emotional reflection. J. Soochow Univ. 44, 173– 183. doi: 10.19563/j.cnki.sdzs.2023.01.016 · DOI
- Zhang X. H. Sun J. L. (2023). Comments on virtual AI: an analysis of users' emotional connection to chatbots -- taking software Replika as an example. Modern Commun. 45, 124– 133. doi: 10.19997/j.cnki.xdcb.2023.09.006 · DOI
- Zheng R. C. (1999). Psychological diagnosis of college students, vol. 1999. Jinan: Shandong Education Press, 339– 344.
Cited by
Sorted by citations
Zhang, K., Xie, Y., Chen, D., Ji, Z., & Wang, J. (2025) · BMC Psychology · doi:10.1186/s40359-025-03284-w · Cited by 38 · see citing works
A scoping review on the mental health harms of LLM-based chatbots
Diel, A., Torous, J., Cuijpers, P., Kleesiek, J., Nensa, F., Weber, N., Faust, F., Lalgi, T. J., Mellis, F. S., Teufel, M., et al. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-03054-x · Cited by 4 · see citing works
“Yuan et al. found that emotionality in interactions between users and chatbots predicted LLM-CB dependence 120 .”
- Authors
- Yuan, Z., Cheng, X., & Duan, Y.
- Affiliations
- Chengdu University of Technology (CN)
- Corresponding author
- Cheng, Xiaoliang
- ORCID
- Cheng, Xiaoliang
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2024-08-16
- Volume
- 15
- Pages
- 1388860-1388860
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC11362029
- OpenAlex
- W4401650423
- Cited by
- 39
- References
- 5
- Citations by year
- 2026: 25 · 2025: 13 · 2024: 1
- FWCI
- 18.50
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- 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 › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- media dependence, chatbots, human-chatbot interaction, emotional interaction, social interaction, Replika, human-computer interaction, intelligent media, user demographics
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 ›
Are you an author, or do you see a problem with this page? Request a review