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Journal : INJECT Interdisciplinary Journal of Communication

The Effects of Trust and Cognitive Load on Human-Generative AI Communication in Higher Education: Evidence from Indonesian Undergraduate Students Aristawidya, Atikah Putri; Ramadhana, Maulana Rezi
INJECT (Interdisciplinary Journal of Communication) Vol. 11 No. 1 (2026)
Publisher : FAKULTAS DAKWAH UIN SALATIGA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/inject.v11i1.6235

Abstract

This study examines the influence of trust and cognitive load as fundamental factors associated with Human-Generative AI Communication in a higher education context. As student interactions with generative artificial intelligence systems through natural language increase, understanding the conditions that support effective and meaningful communication between humans and AI becomes crucial. Using a quantitative research design, survey data were collected from 400 Indonesian undergraduate students who had actively used a generative AI platform for academic purposes in the past three months. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the theoretically hypothesized influence of trust and cognitive load on Human-Generative AI Communication within a theory-driven modeling framework. Results indicate that trust has a strong and significant influence. Students who perceive AI systems as reliable and credible are more likely to engage in open, dialogic communication. Cognitive load also showed a significant influence, indicating that lower cognitive load facilitates clearer, more efficient, and more dialogic communication with AI systems. Furthermore, the combined effects of trust and cognitive load accounted for a significant portion of the variance in Human-AI Generative Communication, underscoring the role of both factors in shaping interaction quality in academic settings. The findings indicate that students' communication with generative AI is closely related to relational evaluations and perceived cognitive demands, supporting the view of generative AI as a communicative participant and not simply an instrumental tool. This study contributes to communication research by providing empirical evidence on the socio-cognitive underpinnings of Human-Generative AI communication in higher education.
Development of an Experience-Based Interpersonal Communication Model: A Qualitative Study of Non-Professional Caregivers in Indonesian Mental Health Rehabilitation Putri, Tita Azzahra; Maulana Rezi Ramadhana
INJECT (Interdisciplinary Journal of Communication) Vol. 11 No. 1 (2026)
Publisher : FAKULTAS DAKWAH UIN SALATIGA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/inject.v11i1.6299

Abstract

Interpersonal communication in non-clinical mental health rehabilitation is largely shaped by non-professional caregivers, yet existing therapeutic communication models emphasize clinical expertise and structured protocols. This study explores how experience-based relational practices emerge among Pramujiwa non-professional caregivers at Satpel Bina Laras Sakurjaya, Indonesia, through daily interactions with clients with mental disorders (ODGJ). Employing an intrinsic single-case qualitative design grounded in interpretivist and experiential learning perspectives, data were collected via unstructured interviews, participant observation, and document analysis with 10 key Pramujiwa informants, supporting staff, and an expert informant. Inductive thematic analysis identified four recurring interaction patterns: Initial Familiarization, Trust Negotiation, Daily Engagement, and Informal Continuity, which were synthesized into a three-phase conceptual model: Affectional, Adaptive, and Relationship Consolidation phases. Findings indicate that relational effectiveness is maintained through emotional attunement, situational adaptation, and continuity across everyday activities rather than formal clinical procedures. The Pramujiwa Interpersonal Relationship Model demonstrates that meaningful therapeutic-like communication can develop from sustained, context-sensitive experiential practice. The study highlights the significance of non-professional, experience-based caregiving for psychosocial stabilization and relational continuity in resource-limited rehabilitation contexts, offering theoretical and practical insights for enhancing interpersonal communication frameworks in non-clinical mental health care.