Observing group decision making processes

Conference paper (2016)

Authors

Amra Delic Technische Universität Wien
Julia Neidhardt Technische Universität Wien
Thuy-Ngoc Nguyen Free University of Bozen-Bolzano
Francesco Ricci Free University of Bozen-Bolzano
L. Rook Economics of Technology and Innovation - TPM
Hannes Werthner Technische Universität Wien
Markus Zanker Free University of Bozen-Bolzano
Research Group
Economics of Technology and Innovation (TPM) (TU Delft)
Copyright: © 2016 Amra Delic, Julia Neidhardt, Thuy-Ngoc Nguyen, Francesco Ricci, L. Rook, Hannes Werthner, Markus Zanker
DOI: https://doi.org/10.1145/2959100.2959168
Preference aggregation User study Group recommender systems Group decision processes
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Published Date

2016

Language

English

Reuse Rights

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Faculty

Technology, Policy and Management

Department

Values Technology and Innovation

Research Group

Economics of Technology and Innovation

Abstract

Most research on group recommender systems relies on the assumption that individuals have conflicting preferences; in order to generate group recommendations the system should identify a fair way of aggregating these preferences. Both empirical studies and theoretical frameworks have tried to identify the most effective preference aggregation techniques without coming to definite conclusions. In this paper, we propose to approach group recommendation from the group dynamics perspective and analyze the group decision making process for a particular task (in the travel domain). We observe several individual and group properties and correlate them to choice satisfaction. Supported by these initial results we therefore advocate for the development of new group recommendation techniques that consider group dynamics and support the full group decision making process.

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