Chapter

Affective Computing and Intelligent Interaction

Volume 3784 of the series Lecture Notes in Computer Science pp 723-730

Dynamic User Modeling in Health Promotion Dialogs

  • Valeria CarofiglioAffiliated withIntelligent Interfaces, Department of Informatics, University of Bari
  • , Fiorella de RosisAffiliated withIntelligent Interfaces, Department of Informatics, University of Bari
  • , Nicole NovielliAffiliated withIntelligent Interfaces, Department of Informatics, University of Bari

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Abstract

We describe our experience with the design, implementation and revision of a dynamic user model for adapting health promotion dialogs with ECAs to the ‘stage of change’ of the users and to their ‘social’ attitude toward the agent. The user model was built by learning a bayesian network from a corpus of data collected with a Wizard of Oz study. We discuss how uncertainty in the recognition of the user’s mental state may be reduced by integrating a simple linguistic parser with knowledge about the interaction context represented in the model.