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Accounting for diversity in subjective judgments

Published:04 April 2009Publication History

ABSTRACT

In this paper we argue against averaging as a common practice in the analysis of subjective attribute judgments, both across and within subjects. Previous work has raised awareness of the diversity between individuals' perceptions. In this paper it will furthermore become apparent that such diversity can also exist within a single individual, in the sense that different attribute judgments from a subject may reveal different, complementary, views. A Multi-Dimensional Scaling approach that accounts for the diverse views on a set of stimuli is proposed and its added value is illustrated using published data. We will illustrate that the averaging analysis provides insight to only 1/6th of the total number of attributes in the example dataset. The proposed approach accounts for more than double the information obtained from the average model, and provides richer and semantically diverse views on the set of stimuli.

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    • Published in

      cover image ACM Conferences
      CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2009
      2426 pages
      ISBN:9781605582467
      DOI:10.1145/1518701

      Copyright © 2009 ACM

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      Publication History

      • Published: 4 April 2009

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      CHI '09 Paper Acceptance Rate277of1,130submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

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