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Research2026-07-28 · source-backed
Three LLM review systems compared within-subjects: detailed explanation plus feedback, feedback only, no explanation. Full explanations produced the highest perceived trust (M = 3.99/5) but not the highest agreement; moderate explanation won agreement at 89.22%. More explanation prompts developers to question the AI more. No explanation scored lowest on both. Explanation level didn't significantly affect review time. Maximizing explanation maximizes trust ratings, not adoption. (arXiv 2607.24601)
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Both cover Full; reported by the same outlet (arxiv.org); earlier Full coverage from 2026-07-23.
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Both cover Full; overlapping topics (feedback, full); earlier Full coverage from 2026-03-12.
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Both cover Full; overlapping topics (code, didn, full); earlier Full coverage from 2026-03-28.
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