Algorithmic appreciation or aversion? The moderating effects of uncertainty on algorithmic decision making

Aaron Schecter, Eric Bogert, Nina Lauharatanahirun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Humans are increasingly making decisions with the aid of algorithms. In some cases, people have exhibited algorithmic aversion, or a tendency to disregard potentially accurate advice from an algorithm. In other cases, the reverse is true, and humans display algorithmic appreciation. Prior work has focused on the role of task type in determining aversion or appreciation, or has considered an individual's agency in the decision making process. In this paper, we posit that certain latent preferences can explain these decisions. We introduce two constructs related to individuals' tolerance for uncertainty and sensitivity to the source of uncertainty and measure them across three different preregistered experimental tasks (N = 451 participants total). We find an overall robust tendency towards algorithmic appreciation and find that the measures we introduced significantly moderate the propensity to accept algorithmic advice. We find some heterogeneity across task types and identify circumstances where individuals express aversion instead of appreciation.

Original languageEnglish (US)
Title of host publicationCHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450394222
DOIs
StatePublished - Apr 19 2023
Event2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany
Duration: Apr 23 2023Apr 28 2023

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/TerritoryGermany
CityHamburg
Period4/23/234/28/23

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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