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Modelling the Personality of Decision Makers for Active Decision Support

  • Conference paper
User Modeling

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 383))

  • 288 Accesses

Abstract

A recent research project showed that decision-makers with different personality dispositions may display distinct preferences when making decisions. This paper presents a decision support framework which attempts to provide the basis for systems that are capable of adapting to their users based on their personality preferences. The capabilities of adaptation are facilitated through the construction of profiles of decisionmakers, decision situations and decision domains. An inference mechanism that utilises neural networks is employed to build these profiles. A mature system may be capable of identifying inconsistencies in an individual’s decision making and providing active decision support.

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References

  • Abelson, R.P., and Levi, A. (1985). Decision-making and decision theory. In Lindzey, G., and Aronson, E., eds., Handbook of Social Psychology. New York: Random House, 3rd editon, volume 1. 231–309.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Monash University, Australia

    Priyanka Paranagama, Frada Burstein & David Arnott

Authors
  1. Priyanka Paranagama
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  2. Frada Burstein
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  3. David Arnott
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Editor information

Editors and Affiliations

  1. University of Saarbrücken, Germany

    A. Jameson

  2. Csiro Australia, Australia

    C. Paris

  3. University of Udine, Italy

    C. Tasso

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© 1997 Springer-Verlag Wien

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Paranagama, P., Burstein, F., Arnott, D. (1997). Modelling the Personality of Decision Makers for Active Decision Support. In: Jameson, A., Paris, C., Tasso, C. (eds) User Modeling. International Centre for Mechanical Sciences, vol 383. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2670-7_10

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  • DOI: https://doi.org/10.1007/978-3-7091-2670-7_10

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82906-6

  • Online ISBN: 978-3-7091-2670-7

  • eBook Packages: Springer Book Archive

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