Algorithm Aversion
Logg and Schlund propose that research documenting algorithm aversion and research documenting algorithm appreciation can be reconciled by looking at elicitation methods. When making judgments, people consistently use algorithmic advice more than human advice. Hypothetical questions produce unstable preferences, and people sometimes report indifference and sometimes prefer human judgment. People also fail to anticipate their own behaviour correctly, using algorithmic advice more than they expect. A slight change in the framing of a hypothetical task moderates the effect.
Logg and Schlund propose that research documenting algorithm aversion and research documenting algorithm appreciation can be reconciled by looking at elicitation methods. When making judgments, people consistently use algorithmic advice more than human advice. Hypothetical questions produce unstable preferences, and people sometimes report indifference and sometimes prefer human judgment. People also fail to anticipate their own behaviour correctly, using algorithmic advice more than they expect. A slight change in the framing of a hypothetical task moderates the effect.
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and "Algorithm Appreciation": Hypotheticals vs. Real Judgments.' SSRN working paper, abstract id 4687557.