Editors:
- Deals with the systematic and interdisciplinary study of cognitive abilities and their implementation in technical systems
- Focuses on multimodality, individuality, adaptability, availability, cooperativeness, and trustworthiness
- Suitable for researchers in artificial intelligence
Part of the book series: Cognitive Technologies (COGTECH)
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Table of contents (25 chapters)
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Front Matter
About this book
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.
Editors and Affiliations
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Institute of Artificial Intelligence, Universität Ulm, Ulm, Germany
Susanne Biundo
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Cognitive Systems Group, Institute for Information Technology and Communications (IIKT) and Center for Behavioral Brain Sciences (CBBS), Otto-von-Guericke Universität Magdeburg, Magdeburg, Germany
Andreas Wendemuth
Bibliographic Information
Book Title: Companion Technology
Book Subtitle: A Paradigm Shift in Human-Technology Interaction
Editors: Susanne Biundo, Andreas Wendemuth
Series Title: Cognitive Technologies
DOI: https://doi.org/10.1007/978-3-319-43665-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-43664-7Published: 12 December 2017
Softcover ISBN: 978-3-319-82880-0Published: 27 May 2018
eBook ISBN: 978-3-319-43665-4Published: 04 December 2017
Series ISSN: 1611-2482
Series E-ISSN: 2197-6635
Edition Number: 1
Number of Pages: XV, 500
Number of Illustrations: 71 b/w illustrations, 135 illustrations in colour
Topics: Artificial Intelligence, User Interfaces and Human Computer Interaction, Computational Linguistics, Signal, Image and Speech Processing