"ChatGPT" Interaction and its Relationship with Loneliness and Social Connection in Young Adult Workers

Authors

  • Aprilia Mega Puspitasari Persada Indonesia University YAI
  • Muhammad Firas Akram Persada Indonesia University YAI
  • Putri Balqist Shahnaztasya Persada Indonesia University YAI
  • Zainun Mu’tadin Persada Indonesia University YAI

DOI:

https://doi.org/10.61994/jipbs.v4i3.1907

Keywords:

Artificial Intelligence, ChatGPT, Young Adult Workers, Loneliness, Social Connectedness

Abstract

Today, AI-based technologies such as ChatGPT are becoming increasingly widespread. This development presents a new form of communication between humans and digital systems that resembles interpersonal interaction and may be associated with various psychological outcomes that can potentially affect individual psychological aspects, especially feelings of loneliness and social connectedness because it is considered to provide emotional support, information, and alternative social interactions. The main focus of this study is to examine the relationship between interaction with ChatGPT and feelings of loneliness and social connectedness among young adult workers aged 20–35 who had used ChatGPT for at least one month. The research approach used a quantitative method with a non-experimental correlational design and statistical analysis of the relationships among variables. The sample was obtained using a purposive sampling technique. Data were analyzed using Pearson Correlation and Linear Regression. The results showed that interaction with ChatGPT has no significant relationship or influence on respondents' levels of loneliness (p = 0.317). This occurs because interactions with AI tend to be utilitarian and functional, making them unable to replace emotional intimacy between humans. Conversely, interactions with ChatGPT had a very strong positive relationship (r = 0.986), explained 97.1% of the variance in social connectedness. These findings suggest that ChatGPT functions more as a cognitive aid and social facilitator that enhances individuals' confidence and readiness to interact in real-life environments, rather than as an emotional substitute for overcoming social isolation.

References

Al Mazroui, K., & Alzyoudi, M. (2024). The role of ChatGPT in mitigating loneliness among older adults: An exploratory study. Online Journal of Communication and Media Technologies, 14(4), e202444. https://doi.org/10.30935/ojcmt/14777

Arvina, N., & Ariana, A. D. (2025). Hubungan Insecure Romantic Attachment dan Non-Suicidal Self-Injury pada Emerging Adulthood Dalam Hubungan Pacaran : Peran Emotional Dysregulation sebagai Variabel Mediator. [Universitas Airlangga]. https://repository.unair.ac.id/137077/

Baek, E. C., Pourafshari, R., & Bayer, J. B. (2025). The four conceptualizations of social connection. Nature Reviews Psychology, 4(8), 506–517. https://doi.org/10.1038/s44159-025-00455-9

Bai, L., Liu, X., & Su, J. (2023). ChatGPT: The cognitive effects on learning and memory. Brain‐X, 1(3). https://doi.org/10.1002/brx2.30

Brandtzaeg, P. B., Skjuve, M., & Følstad, A. (2022). My AI Friend: How Users of a Social Chatbot Understand Their Human–AI Friendship. Human Communication Research, 48(3), 404–429. https://doi.org/10.1093/hcr/hqac008

Croes, E. A. J., & Antheunis, M. L. (2021). Can we be friends with Mitsuku? A longitudinal study on the process of relationship formation between humans and a social chatbot. Journal of Social and Personal Relationships, 38(1), 279–300. https://doi.org/10.1177/0265407520959463

Delello, J. A., Sung, W., De Giuseppe, T., Mokhtari, K., Hebert, J., & Bronson, A. (2026). Can a machine care? Exploring emotional intelligence and well-being in human artificial intelligence interactions. Behaviour & Information Technology, 1–19. https://doi.org/10.1080/0144929X.2026.2654494

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Dworschak, C., Mäder, T., Rühlmann, C., Maercker, A., & Kleim, B. (2024). Examining bi-directional links between loneliness, social connectedness and sleep from a trait and state perspective. Scientific Reports, 14(1), 17300. https://doi.org/10.1038/s41598-024-68045-y

F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128

Kwak, S. G., & Kim, J. H. (2017). Central limit theorem: the cornerstone of modern statistics. Korean Journal of Anesthesiology, 70(2), 144. https://doi.org/10.4097/kjae.2017.70.2.144

Le, H., Shen, Y., Li, Z., Xia, M., Tang, L., Li, X., Jia, J., Wang, Q., Gašević, D., & Fan, Y. (2025). Breaking human dominance: Investigating learners’ preferences for learning feedback from generative AI and human tutors. British Journal of Educational Technology, 56(5), 1758–1783. https://doi.org/10.1111/bjet.13614

Lesmana, G., Amran, A., & Deliati, D. (2025). Latihan Reframing Diri dengan Bantuan AI: Tranformasi Pikiran Negatif menjadi Pikiran Positif. Jurnal Pengabdian Masyarakat Larisma, 2(1), 8-12.

Marmat, G. (2022). Online brand communication and building brand trust: social information processing theory perspective. Global Knowledge, Memory and Communication, 71(6/7), 584–604. https://doi.org/10.1108/GKMC-12-2020-0195

Seemann, A. (2022). The Psychological Structure of Loneliness. International Journal of Environmental Research and Public Health, 19(3), 1061. https://doi.org/10.3390/ijerph19031061

Shahzad, M. F., Xu, S., & Zahid, H. (2025). Exploring the impact of generative AI-based technologies on learning performance through self-efficacy, fairness & ethics, creativity, and trust in higher education. Education and Information Technologies, 30(3), 3691–3716. https://doi.org/10.1007/s10639-024-12949-9

Sumner, E. M., & Ramirez, A. (2017). Social Information Processing Theory and Hyperpersonal Perspective. In The International Encyclopedia of Media Effects (pp. 1–11). Wiley. https://doi.org/10.1002/9781118783764.wbieme0090

Ta, V., Griffith, C., Boatfield, C., Wang, X., Civitello, M., Bader, H., DeCero, E., & Loggarakis, A. (2020). User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis. Journal of Medical Internet Research, 22(3), e16235. https://doi.org/10.2196/16235

Zhou, X., & Li, C. (2026). Beyond the hype: a psychological perspective on AI chatbots. Frontiers in Psychology, 17. https://doi.org/10.3389/fpsyg.2026.1766427

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Published

23-06-2026

How to Cite

"ChatGPT" Interaction and its Relationship with Loneliness and Social Connection in Young Adult Workers. (2026). Journal of Islamic Psychology and Behavioral Sciences, 4(3), 307-320. https://doi.org/10.61994/jipbs.v4i3.1907