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Not Just a Preference: Reducing Biased Decision-making on Dating Websites

Authors:

Krzysztof Z. GajosAuthors Info & Claims

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Article No.: 203, Pages 1 - 14

https://doi.org/10.1145/3491102.3517587

Published: 29 April 2022 Publication History

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Abstract

As dating websites are becoming an essential part of how people meet intimate and romantic partners, it is vital to design these systems to be resistant to, or at least do not amplify, bias and discrimination. Instead, the results of our online experiment with a simulated dating website, demonstrate that popular dating website design choices, such as the user of the swipe interface (swiping in one direction to indicate a like and in the other direction to express a dislike) and match scores, resulted in people racially biases choices even when they explicitly claimed not to have considered race in their decision-making. This bias was significantly reduced when the order of information presentation was reversed such that people first saw substantive profile information related to their explicitly-stated preferences before seeing the profile name and photo. These results indicate that currently-popular design choices amplify people’s implicit biases in their choices of potential romantic partners, but the effects of the implicit biases can be reduced by carefully redesigning the dating website interfaces.

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Index Terms

Not Just a Preference: Reducing Biased Decision-making on Dating Websites
1. Human-centered computing
  1. Interaction design
    1. Empirical studies in interaction design

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Published In

cover image ACM Conferences

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

April 2022

10459 pages

ISBN:9781450391573

DOI:10.1145/3491102

Editors:
Simone Barbosa
PUC-Rio, Brazil
,
Cliff Lampe
University of Michigan, USA
,
Caroline Appert
Université Paris-Saclay, France
,
David A. Shamma
Toyota Research Institute, USA
,
Steven Drucker
Microsoft Research, USA
,
Julie Williamson
University of Glasgow, UK
,
Koji Yatani
University of Tokyo, Japan

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Publication History

Published: 29 April 2022

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Research-article
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Refereed limited

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National Science Foundation

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CHI '22

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SIGCHI

CHI '22: CHI Conference on Human Factors in Computing Systems

April 29 - May 5, 2022

LA, New Orleans, USA

Acceptance Rates

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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CHI 2025

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April 26 - May 1, 2025

Yokohama , Japan

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