Abstract
Who is likely to resist algorithmic advice? We assess the hypothesis that cognitive style, as measured through the Cognitive Reflection Test is associated with greater advice-seeking from algorithmic advisors. Across 11 online studies and over 2,400 participants, we find that individuals that rely on their intuition prefer more advice from human (vs. algorithmic) advisors. This relationship is partially mediated by perceptions of advisor accuracy –intuitive individuals believe that human advisors are, on average, more accurate than algorithmic ones. This work is the first to focus on individual-level differences that predicts preference for algorithmic vs. human advice.
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