chatbots, psychological implications, human-technology interaction, ethical concerns, user satisfaction


As chatbots become increasingly prevalent in our daily lives, it is important to consider their psychological implications. In this qualitative study, we conducted a focus group with 10 psychology students who had experience interacting with chatbots. Participants discussed their emotional responses, attitudes, and behaviors related to chatbots, as well as ethical concerns. Thematic analysis revealed four main themes: (1) convenience and efficiency, (2) frustration and dissatisfaction, (3) social and emotional connections, and (4) ethical considerations. The findings suggest that chatbots can provide convenience and efficiency, but may also lead to frustration and dissatisfaction when they are unable to meet users' needs. Additionally, participants reported feeling a sense of social and emotional connection with chatbots, and expressed concerns about ethical issues such as data privacy and the potential for chatbots to replace human interaction. These findings have implications for the design and implementation of chatbots, as well as for ethical considerations in their use.

Author Biographies

Dana RAD, Aurel Vlaicu University Arad

Dana Rad, PhD. is Associate Professor in the Faculty of Educational Sciences, Psychology and Social Sciences at Aurel Vlaicu University of Arad, Romania.

Gavril RAD, Aurel Vlaicu University of Arad

Assistant Professor PhD student


Ahmad, N. A., Che, M. H., Zainal, A., Abd Rauf, M. F., & Adnan, Z. (2018). Review of chatbots design techniques. International Journal of Computer Applications, 181(8), 7-10.

Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, 101473.

Bickmore, T. W., & Picard, R. W. (2005). Establishing and maintaining long-term human-computer relationships. ACM Transactions on Computer-Human Interaction (TOCHI), 12(2), 293-327. https://doi.org/10.1145/1067860.1067867

Bickmore, T. W., Pfeifer, L. M., & Jack, B. W. (2009). Taking the time to care: empowering low health literacy hospital patients with virtual nurse agents. Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, 4775-4780.

Brandtzaeg, P. B., & Følstad, A. (2018). Chatbots: changing user needs and motivations. interactions, 25(5), 38-43.

D’Alfonso, S. (2020). AI in mental health. Current Opinion in Psychology, 36, 112-117.

Dang, M. T. (2021). Human rights and law in the age of artificial intelligence. Journal of Legal, Ethical and Regulatory Issues, 24, 1-10.

David, D., Thérouanne, P., & Milhabet, I. (2022). The acceptability of social robots: A scoping review of the recent literature. Computers in Human Behavior, 107419.

Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114(4), 864-886.

Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): A randomized controlled trial. JMIR Mental Health, 4(2), e19.

Halamka, J. D., Mandl, K. D., & Tang, P. C. (2019). Early experiences with big data at an academic medical center. Journal of the American Medical Association, 321(22), 2161-2162.

Kim, M., & Chang, B. (2020). The effect of service quality on the reuse intention of a chatbot: Focusing on user satisfaction, reliability, and Immersion. International Journal of Contents, 16(4), 1-15.

Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973-1018.

Luo, Y., Zhang, X., Li, J., Li, L., Guo, Q., Liu, Z., Zhang, B., & Zhu, T. (2021). Chatbot-Based Mental Health Interventions for University Students: Systematic Review and Meta-Analysis. Journal of Medical Internet Research, 23(6), e30429.

McKeever, B. W., & Urquhart, C. (2019). “Alexa, are you listening?”: The privacy implications of smart speakers. Journal of Business Research, 98, 52-62.

Milne-Ives, M., de Cock, C., Lim, E., Shehadeh, M. H., de Pennington, N., Mole, G., ... & Meinert, E. (2020). The effectiveness of artificial intelligence conversational agents in health care: systematic review. Journal of medical Internet research, 22(10), e20346.

Milne-Ives, M., de Cock, C., Lim, E., Shehadeh, M. H., de Pennington, N., Mole, G., ... & Meinert, E. (2020). The effectiveness of artificial intelligence conversational agents in health care: systematic review. Journal of medical Internet research, 22(10), e20346.

Mishra, A., Ramesh, A. N., & Khapra, M. M. (2021). The Role of Chatbots in Mental Health: A Systematic Literature Review. Journal of Medical Systems, 45(8), 1-11.

Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people and places. Cambridge University Press.

Sands, S., Ferraro, C., Campbell, C., & Tsao, H. Y. (2021). Managing the human–chatbot divide: how service scripts influence service experience. Journal of Service Management, 32(2), 246-264.

Skjuve, M., Følstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2021). My chatbot companion-a study of human-chatbot relationships. International Journal of Human-Computer Studies, 149, 102601.

Torous, J., Onnela, J. P., & Keshavan, M. (2017). New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices. Translational psychiatry, 7(3), e1053-e1053.

Vaidyam, A., Wisniewski, H., Halamka, J. D., Kashavan, M. S., & Torous, J. (2019). Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape. Canadian Journal of Psychiatry, 64(7), 456-464.

Wang, H., Wu, Z., & Chen, J. (2019, November). Multi-turn response selection in retrieval-based chatbots with iterated attentive convolution matching network. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (pp. 1081-1090).

Zhang, J., Song, P., & Huang, L. (2019). User responses to AI chatbot service: The role of provider type and communication mode. Computers in Human Behavior, 93, 145–155. https://doi.org/10.1016/j.chb.2018.12.025




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