Partial Information in Multimodal Dialogue

  • Authors:
  • Matthias Denecke;Jie Yang

  • Affiliations:
  • -;-

  • Venue:
  • ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
  • Year:
  • 2000

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Abstract

Much research has been directed towards developing multimodal interfaces in the past twenty years. Many current multimodal systems, however, can only handle multimodal inputs at the sentence level. The move towards multimodal dialogue significantly increases the complexity of the system as the representations of the input now range over time and input modality. We developed a framework to address this problem consisting of three parts. First, we propose to use multidimensional feature structures, a straightforward extension of typed feature structures, as a uniform representational formalism in which the semantic content stemming from all input modalities can be expressed. Second, we extend the feature structure formalism by an object-oriented framework that allows the back-end application to keep track of the state of the representation under discussion. And third, we propose an informational characterization of dialogue states through a constraint logic program whose constraint system consists of the multidimentional feature structures. The multimodal dialogue manager uses the characterization of dialogue states to decide on an appropriate strategy.