Modelling biased human trust dynamics

  • Authors:

  • Mark Hoogendoorn;Syed Waqar Jaffry;Peter-Paul van Maanen;Jan Treur

  • Affiliations:

  • Agent Systems Research Group, VU University Amsterdam, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands. E-mail: {mhoogen,swjaffry,treur}@few.vu.nl;Agent Systems Research Group, VU University Amsterdam, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands. E-mail: {mhoogen,swjaffry,treur}@few.vu.nl and Punjab University College of Informatio ...;Agent Systems Research Group, VU University Amsterdam, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands. E-mail: {mhoogen,swjaffry,treur}@few.vu.nl and Department of Perceptual and Cognitive ...;Agent Systems Research Group, VU University Amsterdam, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands. E-mail: {mhoogen,swjaffry,treur}@few.vu.nl

  • Venue:
  • Web Intelligence and Agent Systems
  • Year:
  • 2013

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Abstract

Within human trust related behaviour, according to the literature from the domains of Psychology and Social Sciences often non-rational behaviour can be observed. Current trust models that have been developed typically do not incorporate non-rational elements in the trust formation dynamics. In order to enable agents that interact with humans to have a good estimation of human trust, and take this into account in their behaviour, trust models that incorporate such human aspects are a necessity. A specific non-rational element in humans is that they are often biased in their behaviour. In this paper, models for human trust dynamics are presented incorporating human biases. In order to show that they more accurately describe human behaviour, they have been evaluated against empirical data, which shows that the models perform significantly better.