Advances in Natural Multimodal Dialogue Systems edited by Jan van Kuppevelt, Laila Dybkjær, Niels Ole Bernsen.

References 74 Part II Annotation and Analysis of Multimodal Data: Speech and Gesture 4 FORM 79 Craig H. Martell 1. Introduction 79 2. Structure of FORM 80 3. Annotation Graphs 85 4. Annotation Example 86 5. Preliminary Inter-Annotator Agreement Results 88 6. Conclusion: Applications to HLT and HCI?...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: van Kuppevelt, Jan (Editor), Dybkjær, Laila (Editor), Bernsen, Niels Ole (Editor)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2005.
Edition:1st ed. 2005.
Series:Text, Speech and Language Technology, 30
Springer eBook Collection.
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Table of Contents:
  • Natural and Multimodal Interactivity Engineering - Directions and Needs
  • Natural and Multimodal Interactivity Engineering - Directions and Needs
  • Making Dialogues More Natural: Empirical Work and Applied Theory
  • Social Dialongue with Embodied Conversational Agents
  • A First Experiment in Engagement for Human-Robot Interaction in Hosting Activities
  • Annotation and Analysis of Multimodal Data: Speech and Gesture
  • Form
  • On the Relationships Among Speech, Gestures, and Object Manipulation in Virtual Environments: Initial Evidence
  • Analysing Multimodal Communication
  • Do Oral Messages Help Visual Search?
  • Geometric and Statistical Approaches to Audiovisual Segmentation
  • Animated Talking Heads and Evaluation
  • The Psychology and Technology of Talking Heads: Applications in Language Learning
  • Effective Interaction with Talking Animated Agents an Dialogue Systems
  • Controlling the Gaze of Conversational Agents
  • Architectures and Technologies for Advanced and Adaptive Multimodal Dialogue Systems
  • Mind: A Context-Based Multimodal Interpretation Framework in Conversational Systems
  • A General Purpose Architecture for Intelligent Tutoring Systems
  • Miamm — A Multimodal Dialogue System Using Haptics
  • Adaptive Human-Computer Dialogue
  • Machine Learning Approaches to Human Dialogue Modelling.