Integrating User Opinion in Decision Support Systems

  • Saveli GoldbergEmail author
  • Gabriel Katz
  • Ben Weisburd
  • Alexander Belyaev
  • Anatoly Temkin
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 70)


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.


Decision support Machine learning User interaction 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Saveli Goldberg
    • 1
    Email author
  • Gabriel Katz
    • 2
  • Ben Weisburd
    • 3
  • Alexander Belyaev
    • 4
  • Anatoly Temkin
    • 4
  1. 1.Massachusetts General HospitalBostonUSA
  2. 2.Massachusetts Institute of TechnologyCambridgeUSA
  3. 3.Broad InstituteCambridgeUSA
  4. 4.Boston University Metropolitan CollegeBostonUSA

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