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Integrating User Opinion in Decision Support Systems

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Advances in Information and Communication (FICC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 70))

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Abstract

We propose an approach to decision support systems (DSS) that starts with the user first making their own unassisted decision αU and providing this as an input to the algorithm. Then, if the algorithm disagrees with the user’s initial decision, it iteratively works with the user to converge on a common decision or at least make the user reconsider input values that are inconsistent with αU. We provide a detailed description of this approach along with examples, and then discuss potential benefits and limitations.

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Author information

Authors and Affiliations

  1. Massachusetts General Hospital, Boston, MA, 02114, USA

    Saveli Goldberg

  2. Massachusetts Institute of Technology, Cambridge, MA, 02142, USA

    Gabriel Katz

  3. Broad Institute, Cambridge, MA, 02142, USA

    Ben Weisburd

  4. Boston University Metropolitan College, Boston, MA, 02215, USA

    Alexander Belyaev & Anatoly Temkin

Authors
  1. Saveli Goldberg
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  2. Gabriel Katz
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  3. Ben Weisburd
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  4. Alexander Belyaev
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  5. Anatoly Temkin
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Corresponding author

Correspondence to Saveli Goldberg .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Goldberg, S., Katz, G., Weisburd, B., Belyaev, A., Temkin, A. (2020). Integrating User Opinion in Decision Support Systems. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-12385-7_86

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