Review
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Conference
Aug 2026
Moral-Technical Relationship: A Structural Analysis of Trust and Academic Integrity as Predictors of Generative AI Adoption in Higher Education
Generative AI has become a powerful tool in higher education, helping students and researchers work more efficiently. However, this rapid adoption raises important questions about how users view AI ethics and trust. This study investigates what actually drives AI adoption among students, researchers, and lecturers in I...
M. Naufal, A. Mailangkay
· International Conferences on... · 0 citations
Open access
Sep 2026
Trust and Continuance Intention Toward AI-Powered Research Tools: The Moderating Role of Transparency Framing Style
These findings extend the human-AI interaction literature by highlighting the importance of interpretive compatibility alongside technical competence in sustaining engagement with AI-powered research tools.
Mohammad Dalvi-Esfahani, Sharanjit Kaur Bhathal Singh, M. Falahat et al.
· Electronic Journal of Busine... · 0 citations
Review
Aug 2026
Remote collaboration of employees reframed with the lens of AI efficiency, trust and ethical visions
This study provides a novel integration of UTAUT2 with collaboration frameworks, emphasizing the theoretical link between AI adoption, trust, risk and collaboration levels, and contributes to collaboration theory by empirically showing how trust enables, and risk constrains, effective collaborative engagement in remote...
Suman Kumar, M. Moslehpour, A. Walawalkar et al.
· Journal of Information, Comm... · 0 citations
Open access
2026
Artificial Intelligence and the Rise of Digital Empathy: Transforming Well-Being in Modern Workplaces
It is argued that digital empathy is best conceptualised as a relational interface that complements—rather than replaces—human connection that complements—rather than replaces—human connection.
E. Fragouli
· International Journal of Man... · 0 citations
Open access
2026
Beyond Perceived Usefulness: A Human-Centered AI Acceptance Framework for Teacher Education
The rapid integration of artificial intelligence (AI) into educational ecosystems necessitates a deeper understanding of how future teachers conceptualize AI-supported tools. This study examines pre-service teachers’ perceptions across four dimensions: perceived usefulness, digital self-efficacy, trust in AI, and perce...
Ciprian Baciu, Letiția Muntean-Trif
· Revista Romaneasca pentru Ed... · 0 citations
Preprint
Aug 2026
Who Trusts AI with Their Emotions? Trust Formation and Sociodemographic Variation in LLM Use for Emotional Support
It is found that users experience empathy and anthropomorphism as a unified"Humanlikeness"construct, and that Privacy, Personalization, and Humanlikeness drive Trust while Perceived Bias degrades it.
Natalia Amat-Lefort, M. Yazan, A. Curry et al.
· 0 citations