ArticleFrontiers in human neuroscience2026
A study on Chinese college students' acceptance of brain-computer interface technology and its underlying logic-an empirical analysis based on the extended UTAUT model.
Article in Frontiers in human neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To examine the acceptance and influencing factors of brain-computer interface (BCI) technology among Chinese college students based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model. Methods: A questionnaire survey was administered to 800 students recruited from 10 universities across eastern, central, and western China using a convergent mixed-methods design. Additionally, 40 students were selected for semi-structured in-depth interviews. We analyzed the quantitative data using partial least squares structural equation modeling (PLS-SEM) and the qualitative data using thematic analysis. Results: Teacher support ( Conclusion: The findings reveal that BCI technology acceptance follows a distinct psychological mechanism from traditional IT. Teacher support, rather than performance expectancy, emerges as the strongest predictor. Four main barriers were identified: privacy anxiety, technological unfamiliarity, insufficient institutional readiness, and the absence of ethical review. The study expands the UTAUT framework for neurotechnology applications in higher education and provides evidence-based recommendations for implementation.
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