Coverbal Synchrony in Human-Machine Interaction

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advanced multimodal interface research
affective computing
agent
ambient intelligence systems
Back Channel Feedback
Backchannel Signals
behavior
BML
Category=UYZ
Co-speech Gesture
Color Plate Section
communication
computational linguistics
computer
Dialogue Systems
ECA
Embodied Agents
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Gesture Production
gesture recognition
hidden
Human Human Communication
Iconic Gesture
interactions
Listener Behavior
Low Level Features
markov
models
Multimodal Annotation
multimodal interaction analysis
Multimodal Signal
non-verbal
Nonverbal Behavior
OCC
Prosodic Matching
Semantic Fusion
Semantic Information
Speech Pauses
synthetic behavior modeling
TTS
Vice Versa
virtual
Virtual Agents
Virtual Human

Product details

  • ISBN 9781466598256
  • Weight: 725g
  • Dimensions: 156 x 234mm
  • Publication Date: 25 Oct 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Embodied conversational agents (ECA) and speech-based human–machine interfaces can together represent more advanced and more natural human–machine interaction. Fusion of both topics is a challenging agenda in research and production spheres. The important goal of human–machine interfaces is to provide content or functionality in the form of a dialog resembling face-to-face conversations. All natural interfaces strive to exploit and use different communication strategies that provide additional meaning to the content, whether they are human–machine interfaces for controlling an application or different ECA-based human–machine interfaces directly simulating face-to-face conversation.

Coverbal Synchrony in Human-Machine Interaction presents state-of-the-art concepts of advanced environment-independent multimodal human–machine interfaces that can be used in different contexts, ranging from simple multimodal web-browsers (for example, multimodal content reader) to more complex multimodal human–machine interfaces for ambient intelligent environments (such as supportive environments for elderly and agent-guided household environments). They can also be used in different computing environments—from pervasive computing to desktop environments. Within these concepts, the contributors discuss several communication strategies, used to provide different aspects of human–machine interaction.

Matej Rojc, Nick Campbell