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
As AI becomes more deeply embedded in scientific workflows, understanding what drives user trust has become central to the sustainable adoption of these tools. This study draws on the Ability-Benevolence-Integrity (ABI) model to examine what shapes trust in AI-powered research tools and how that trust relates to users’...
Mohammad Dalvi-Esfahani, Sharanjit Kaur Bhathal Singh, M. Falahat et al.· Electronic Journal of Busine...· 0 citations
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
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
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
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
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