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Unpacking the Dual-Path Trust Mechanism Driving Students’ Continuance Intention Toward Campus GenAI: A Hybrid SEM–Machine Learning Approach within the S-O-R Framework

2026-06-30

Abstract excerpt

<p>As generative artificial intelligence agents become embedded in higher education, understanding students' continuance intention (CUI) is critical. To address the underexplored mechanisms regarding how campus AI environments are associated with user trust, this study adopts the Stimulus-Organism-Response (S-O-R) framework to investigate a dual-path trust mechanism: AI System-like Trust (AST) and AI Human-like Tr...

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Literature Corpus work
7eadb852-a6d2-539b-b513-08129a84e1f6
DOI
10.31234/osf.io/rwapn_v1
Open publication

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Unpacking the Dual-Path Trust Mechanism Driving Students’ Continuance Intention Toward Campus GenAI: A Hybrid SEM–Machine Learning Approach within the S-O-R FrameworkDOI 10.31234/osf.io/rwapn_v1
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