Algorithm Aversion: Research Area — Prolific Citations Library

Discover 1 peer-reviewed study in Algorithm Aversion (2024). Explore research findings powered by Prolific's diverse participant panel.

This page lists 1 peer-reviewed paper in the research area of Algorithm Aversion in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Overcoming algorithm aversion: A comparison between process and outcome control

Authors: L Cheng, A Chouldechova

Year: 2024

Published in: Proceedings of the 2023 CHI Conference ..., 2023 - dl.acm.org

Institution: Carnegie Mellon University

Research Area: Human-Computer Interaction (HCI), Algorithm Aversion, Decision Science

Discipline: Human-Computer Interaction (HCI)

Giving users process control by selecting the training algorithm mitigates algorithm aversion, but not by changing input factors, while combined outcome and process control is not more effective than each individually.

Methods: Replication study on outcome control and novel process control conditions tested on MTurk and Prolific platforms.

Key Findings: Impact of outcome control, process control, and combined controls on algorithm aversion mitigation.

DOI: https://doi.org/10.1145/3544548.3581253

Citations: 41