Polarization Effects in Group Decisions

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

Abstract

Group Recommender Systems aim to support the identification of items that best fit individual preferences of group members. However, decision making behavior of group members can be affected by decision biases which can deteriorate group decision quality. In this paper, we analyze the existence of Group Polarization Effects in two different domains and present a way to counteract these effects. Group Polarization is the tendency of a group to make decisions that are more extreme than the average of individual group members' preferences. We analyze Group Polarization in the context of risk analysis and cost estimation. In risk related group decisions, we figured out that if individual group members tend to make cautious decisions, then the group decision will be more cautious. However, in decisions related to cost estimation, the group estimations are lower than the average of group members' estimations (i.e., cautious shift). Furthermore, our results show that individual group members with diverse preferences are not influenced by Group Polarization Effects. The diversity in preferences of individual group members helps to counteract Group Polarization Effects.
Original languageEnglish
Title of host publicationUMAP 2018: Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization
Pages305-310
Number of pages6
DOIs
Publication statusPublished - 2018
Event26th Conference on User Modeling, Adaptation and Personalization - Nanyang Technological University, Singapore
Duration: 8 Jul 201811 Jul 2018
http://www.um.org/umap2018/

Conference

Conference26th Conference on User Modeling, Adaptation and Personalization
Abbreviated titleUMAP 2018
CountrySingapore
Period8/07/1811/07/18
Internet address

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