Understanding when laypeople adopt predictive algorithms

IF 21.4 1区心理学 Q1 MULTIDISCIPLINARY SCIENCES

Nature Human Behaviour Pub Date : 2025-03-17 DOI:10.1038/s41562-025-02135-3

Berkeley J. Dietvorst

引用次数: 0

Abstract

Understanding when and why laypeople adopt predictive algorithms is key to aligning technology with user needs. I propose that adoption is driven by performance expectations (as algorithms are tools designed to aid users) and outline when laypeople are likely to adopt algorithms, given their distinctive performance goals.

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来源期刊

Nature Human Behaviour Psychology-Social Psychology

CiteScore

36.80

自引率

1.00%

发文量

227

期刊介绍： Nature Human Behaviour is a journal that focuses on publishing research of outstanding significance into any aspect of human behavior.The research can cover various areas such as psychological, biological, and social bases of human behavior.It also includes the study of origins, development, and disorders related to human behavior.The primary aim of the journal is to increase the visibility of research in the field and enhance its societal reach and impact.