Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: AI assistance produced some complementary performance, but explanations did not increase it. Explanations increased acceptance of recommendations whether they were right or wrong.

Impact: Reject explanation presence as a proxy for collaboration quality. Strengthen separate measurement of human-only, AI-only, and team outcomes.

Boundary: The tasks were bounded classification and reasoning tasks. Next: which outcome set captures quality, effort, reversibility, and accountability in open-ended work?

Flags: structured datasets; explanation-specific intervention

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

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Recorded chart appearances

  • 2026-10-13: position 77. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence
  • 2026-10-12: position 76. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence