Advances in Natural Multimodal Dialogue Systems

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kuppevelt, Jan C. J. van (Editor), Dybkjær, Laila (Editor), Bernsen, Niels Ole (Editor)
• Format: Electronic eBook
• Language: English
• Published: Dordrecht : Springer Netherlands, 2005.
• Series: Text, Speech and Language Technology, 30
• Subjects: Linguistics.; Computer system failures.; Multimedia information systems.; User interfaces (Computer systems).; Computational linguistics.; Sociology.; Communication.; Computational Linguistics.; Sociology, general.; Communication Studies.; System Performance and Evaluation.; Multimedia Information Systems.; User Interfaces and Human Computer Interaction.

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?...

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.