Higher generative AI error rates reduce user reliance, but task difficulty does not significantly moderate this effect.
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Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1
5 Pith papers cite this work, alongside 11,190 external citations. Polarity classification is still indexing.
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Industrial XR adoption faces a 'Pilot Trap' where organizational readiness and stakeholder incentive misalignments now outweigh technology barriers, based on 17 expert interviews.
UTAUT is suitable for studying individual barriers to GenAI use in software engineering when combined with Bayesian analysis, with three priorities for future research on construct refinement, operationalization, and statistical methods.
Lasso and Ridge regression on UTAUT2 survey data identifies performance expectancy, social influence, and hedonic motivation as strongest predictors of intention to use home robots, plus usability, trust, and competence as promising additions.