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Customization bias in decision support systems

Published:26 April 2014Publication History

ABSTRACT

Many Decision Support Systems (DSS) afford customization of inputs or algorithms before generating recommendations to a decision maker. This paper describes an experiment in which users make decisions assisted by recommendations of a DSS in a fantasy baseball game. This experiment shows that the act of customizing a DSS can lead to biased decision making. I show that users who believe they have customized a DSS's recommendation algorithm are more likely to follow the recommendations regardless of their accuracy. I also show that this customization bias is the result of using a DSS to seek confirmatory information in a recommendation.

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      cover image ACM Conferences
      CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2014
      4206 pages
      ISBN:9781450324731
      DOI:10.1145/2556288

      Copyright © 2014 ACM

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      Publication History

      • Published: 26 April 2014

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      CHI '14 Paper Acceptance Rate465of2,043submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

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