Trust evaluation through human-machine dialogue modelling

  • Authors:
  • Cyril Crocquesel;Fran¸cois Legras;Gilles Coppin

  • Affiliations:
  • Institut Télécom, Télécom-Bretagne, UMR, CNRS, Lab-STICC, France and Université Europénne de Bretagne, France;Deev Interaction, France;Institut Télécom, Télécom-Bretagne, UMR, CNRS, Lab-STICC, France and Université Europénne de Bretagne, France

  • Venue:
  • EPCE'11 Proceedings of the 9th international conference on Engineering psychology and cognitive ergonomics
  • Year:
  • 2011

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Abstract

Trust in automation, and particularly maintaining an adequate level of trust in automation is now recognized as a major performance factor in supervisory control. Leveraging man-machine interaction is seen as a promising approach to influence the level of trust of an operator. Two problems need to be addressed in order to reach this goal: first measuring the level of trust; second acting on the level of trust to reach a more appropriate level. In this paper, we tackle the first problem, and propose to use a computational dialogue modelling approach to evaluate trust dynamically. We describe our model on two examples and give some perspectives.