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On the Convergence of Intelligent Decision Aids

Stefan Schneegass;Bastian Pfleging;Dagmar Kern (Hrsg). Mensch und Computer MuC 2021 - Workshopband. 5. - 8. September 2021, Ingolstadt. Bonn: Gesellschaft für Informatik 2021 S. 1 - 4

Erscheinungsjahr: 2021

Publikationstyp: Diverses (Konferenzbeitrag)

Sprache: Englisch

Doi/URN: 10.18420/muc2021-mci-ws02-371

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Inhaltszusammenfassung


On the one hand, users’ decision making in today’s web is supported in numerous ways, with mechanisms ranging from manual search over automated recommendation to intelligent advisors. The focus on algorithmic accuracy, however, is questioned more and more. On the other hand, although the boundaries between the mechanisms are blurred increasingly, research on user-related aspects is still conducted separately in each area. In this position paper, we present a research agenda for providing a mo...On the one hand, users’ decision making in today’s web is supported in numerous ways, with mechanisms ranging from manual search over automated recommendation to intelligent advisors. The focus on algorithmic accuracy, however, is questioned more and more. On the other hand, although the boundaries between the mechanisms are blurred increasingly, research on user-related aspects is still conducted separately in each area. In this position paper, we present a research agenda for providing a more holistic solution, in which users are supported with the right decision aid at the right time depending on personal characteristics and situational needs.» weiterlesen» einklappen

  • Adaptive systems
  • Decision support
  • Human factors
  • Information filtering
  • Recommender systems
  • User experience
  • User modeling

Autoren


Loepp, Benedikt (Autor)