Jul 2026· Connectist Istanbul University Journal of Communication Sciences· pp. 22-42· 0 citations· 37 references
TL;DR
The findings indicate that ChatGPT-3.5 was regarded as functional in terms of providing easy access to information and understanding questions yet was perceived as emotionally weak and mechanical, while interactions with ChatGPT-4o were experienced as warmer and more fluent.
Abstract
ChatGPT, a generative artificial intelligence (AI) system developed by OpenAI, offers users an interactive dialogue experience through its human-like responses. The study examines Generation Z’s interactions with ChatGPT within the framework of parasocial relationship theory, aiming to reveal how these interactions are interpreted at the individual level. Seeking to explore how users make sense of these interactions, the study employs a qualitative research methodology and a repeated cross-sectional design that compares two independent participant groups with similar socio-economic, cultural, and professional characteristics at two different points in time. The study examines how users experienced two successive ChatGPT versions. The first phase of the research was conducted in 2023 with ChatGPT-3.5 users, while the second phase was carried out in 2025 with ChatGPT-4o users. The findings indicate that ChatGPT-3.5 was regarded as functional in terms of providing easy access to information and understanding questions yet was perceived as emotionally weak and mechanical. Interactions with ChatGPT-4o, by contrast, were experienced as warmer and more fluent.
Investigating how chatbots’ presented gender, together with users’ gender and gender traits, influence users’ perceptions of chatbot credibility and social attraction revealed that users’ gendered self-concept modulates their perceptions of the chatbot.
Weizi Liu, Kun Xu· Communication and Change· 0 citations
The study found that although most participants realized that AI Chatbots did not have human emotions at the cognitive level and only relied on Algorithms and databases to answer, they often still experienced a real sense of mutual intimacy.
AI-driven chatbots may have emerged as the main architects for developing relationships rather than simply processing transactions. The core challenge is to understand how AI-driven chatbots can help build customer relationships. Therefore, this study investigates how AI-driven chatbot determinants, such as personaliza...
Yang Wang, A. Safeer, Yewang Zhou· PLoS ONE· 0 citations
Generative AI chatbots (e.g., ChatGPT) are now part of humans’ relational milieu. Most people interact with them, and ChatGPT's most frequent usages are akin to common purposes of humanistic counseling: therapy or companionship, finding purpose, and organizing one's life. Studies are emerging from counselor educators...
Unknown authors· The Journal of Humanistic Co...· 0 citations
While ChatGPT was primarily viewed as an efficient tool in a work context, the quantitative survey reveals a weakly significant correlation between psychological stress and openness toward the social-emotional use of chatbots.
Stefanie Osetrow, H. Klapperich, A. Huldtgren· Message Understanding Confer...· 0 citations
Social interaction has become one of the most common uses of LLMs, yet research on emotional bonds with AI has focused largely on how users experience these systems, leaving the systems'role in relationship formation poorly understood. Empirically establishing whether systems actively shape these bonds could blur the b...
Lisa Mühl, Jessica M. Szczuka· 0 citations
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