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Selecting and Expressing Communicative Functions in a SAIBA-Compliant Agent Framework

  • Angelo CafaroEmail author
  • Merijn BruijnesEmail author
  • Jelte van Waterschoot
  • Catherine Pelachaud
  • Mariët Theune
  • Dirk Heylen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10498)

Abstract

In SAIBA-compliant agent systems, the Function Markup Language (FML) is used to describe the agent’s communicative functions that are transformed into utterances accompanied with appropriate non-verbal behaviours. In the context of the ARIA Framework, we propose a template-based approach, grounded in the DIT++ taxonomy, as an interface between the dialogue manager (DM) and the non-verbal behaviour generation (NVBG) components of this framework. Our approach enhances our current FML-APML implementation of FML with the capability of receiving on-the-fly generated natural language and socio-emotional parameters (e.g. emotional stance) for transforming the agent’s intents in believable verbal and non-verbal behaviours in an adaptive manner.

Keywords

Dialogue management Communicative function FML Multimodal behaviour SAIBA 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Angelo Cafaro
    • 2
    Email author
  • Merijn Bruijnes
    • 1
    Email author
  • Jelte van Waterschoot
    • 1
  • Catherine Pelachaud
    • 2
  • Mariët Theune
    • 1
  • Dirk Heylen
    • 1
  1. 1.Human Media InteractionUniversity of TwenteEnschedeThe Netherlands
  2. 2.CNRS-ISIR, Pierre and Marie Curie UniversityParisFrance

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