Two distinct and separable processes underlie individual differences in algorithm adherence: Differences in predictions and differences in trust thresholds.

ABSTRACT: Algorithms play an increasingly ubiquitous and vitally important role in modern society. However, recent findings suggest substantial individual variability in the degree to which people make use of such algorithmic systems, with some users preferring the advice of algorithms whereas others selectively avoid algorithmic systems. The mechanisms that give rise to these individual differences are currently poorly understood. Previous studies have suggested two possible effects that may underlie this variability: users may differ in their predictions of the efficacy of algorithmic systems, and/or in the relative thresholds they hold to place trust in these systems. Based on a novel judgment task with a large number of within-subject repetitions, here we report evidence that both mechanisms exe

SUBMITTER: Fenneman A 

PROVIDER: S-EPMC7906384 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature