Evidence and limits
Finding: Lay participants often weighted algorithmic advice more than human advice, but appreciation weakened when comparing advice with their own judgment and among experienced forecasters.
Impact: Strengthen expertise and comparison-frame controls. Reject algorithm aversion as a universal behavior.
Boundary: The tasks center on estimates and forecasts. Next: when does appreciation become overreliance in open-ended work?
Flags: short judgment tasks; novice-expert framing
Record State: Catalog review recorded; not a performance endorsement
What was reviewed: Structure and relevance screened; not a full evaluation