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Companion Technology A Paradigm Shift in Human-Technology Interaction
Title
Companion Technology [electronic resource] : A Paradigm Shift in Human-Technology Interaction / edited by Susanne Biundo, Andreas Wendemuth.
ISBN
9783319436654
Publication
Cham : Springer International Publishing : Imprint: Springer, 2017.
Physical Description
XV, 500 p. 206 illus., 135 illus. in color : 1 online resource.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
Future technical systems will be companion systems, competent assistants that provide their functionality in a completely individualized way, adapting to a user’s capabilities, preferences, requirements, and current needs, and taking into account both the emotional state and the situation of the individual user. This book presents the enabling technology for such systems. It introduces a variety of methods and techniques to implement an individualized, adaptive, flexible, and robust behavior for technical systems by means of cognitive processes, including perception, cognition, interaction, planning, and reasoning. The technological developments are complemented by empirical studies from psychological and neurobiological perspectives.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 11, 2018
Series
Cognitive Technologies,
Contents
Multilevel Knowledge Processing in Companion Systems
Extending the Knowledge Base: Dynamic Query Planning for Querying Ontologies
User-Centered Planning
Explaining System-Generated Plans to Human Users
Neurobiological Foundations of Strategy Change
Assistive and Adaptive Dialogue Management
The 'How' of Companion Feedback: Insights from Functional Imaging and Psychophysiology
Management of Multimodal User Interaction in Companion Systems
User-Adapted Guided Information Exploration
Last Minute: An Empirical Experiment in User Companion Interaction
Semantic and Nonlinguistic Data Representing Emotional States
Environment Adaption for Companion Systems
Emotion Recognition from Speech
Automated Analysis of Human Facial Expression and Affect
Social Signal Processing and Analysis in Companion Systems
Nonintrusive Gesture Recognition in Real Companion Environments
Companions Personalized Emotion Experience Model (COMPLEX)
Information Fusion
Neural Mechanisms and Methods for Emotion Recognition
Mobile Worker Assistance System and Interaction Methods for Automotive Application Scenarios.
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