Relationships Between Trust, Compliance, and Performance for Novice Programmers Using AI Code Generation
3.80T1 sourceHuman Factors (SAGE / HFES)
Source record
Published by Human Factors (SAGE / HFES) (T1 source). The original is at https://journals.sagepub.com/doi/abs/10.1177/00187208261467254?af=R.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA peer-reviewed Human Factors study examining how novice programmers' trust in AI-driven Development Environments relates to coding performance and AI compliance when working under time pressure.
Why it mattersEmpirical human-factors data on trust calibration in AI-assisted coding; relevant for teams adopting AI dev tools and designing onboarding for junior developers.
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