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Biases in Group Decisions

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Group Recommender Systems

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Abstract

Decision biases can be interpreted as tendencies to think and act in specific ways that result in a systematic deviation of potentially rational and high-quality decisions. In this chapter, we provide an overview of example decision biases and show possibilities to counteract these. The overview includes (1) biases that exist in both single user and group decision making (decoy effects, serial position effects, framing, and anchoring) and (2) biases that especially occur in the context of group decision making (GroupThink, polarization, and emotional contagion).

Alexander Felfernig, Müslüm Atas, Martin Stettinger,Thi Ngoc Trang Tran, and Gerhard Leitner

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Notes

  1. 1.

    See the ACM RecSys Workshop Series on Human Decision Making and Recommender Systems.

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Author information

Authors and Affiliations

  1. Institute for Software Technology, Graz University of Technology, Graz, Austria

    Alexander Felfernig & Martin Stettinger

  2. EURECAT, Centre Tecnológico de Catalunya, Barcelona, Spain

    Ludovico Boratto

  3. Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy

    Marko Tkalčič

Authors
  1. Alexander Felfernig
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  2. Ludovico Boratto
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  3. Martin Stettinger
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  4. Marko Tkalčič
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Felfernig, A., Boratto, L., Stettinger, M., Tkalčič, M. (2018). Biases in Group Decisions. In: Group Recommender Systems . SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-75067-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-75067-5_8

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