This book covers key topics in the field of intelligent ambient adaptive systems. It focuses on the results worked out within the framework of the ATRACO (Adaptive and TRusted Ambient e COlogies) project. The theoretical background, the developed prototypes, and the evaluated results form a fertile ground useful for the broad intelligent environments scientific community as well as for industrial interest groups.
The new edition provides:
- Chapter authors comment on their work on ATRACO with final remarks as viewed in retrospective
- Each chapter has been updated with follow-up work emerging from ATRACO
- An extensive introduction to state-of-the-art statistical dialog management for intelligent environments
- Approaches are introduced on how Trust is reflected during the dialog with the system
€96.29
Table of Content
A Middleware Architecture for Ambient Adaptive Systems.- Adaptive Networking.- Ontology-based knowledge management in NGAIEs.- Privacy & Trust in Ambient Intelligent Environments.- Novel Approaches to Artefact Adaptation in Ambient Intelligent Environments.- User Interaction Adaptation within Ambient Environments.- User-centered Spoken Dialogue Management.- Artificial Intelligence Planning for Ambient Environments.- From scenarios to “free-play”: Evaluating the user’s experience of ambient technologies in the home.About the author
Stefan Ultes is a Senior Researcher at the Institute of Communications Engineering, University of Ulm.Florian Nothdurft is a Senior Researcher at the Institute of Communications Engineering, University of Ulm.
Tobias Heinroth is a Research Associate at the Institute of Communications Engineering, University of Ulm.
Wolfgang Minker is a Professor at the Institute of Communications Engineering, University of Ulm.
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Language English ● Format PDF ● Pages 346 ● ISBN 9783319234526 ● File size 10.5 MB ● Editor Stefan Ultes & Florian Nothdurft ● Publisher Springer International Publishing ● City Cham ● Country CH ● Published 2015 ● Edition 2 ● Downloadable 24 months ● Currency EUR ● ID 4772823 ● Copy protection Social DRM
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