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ASME Press Select Proceedings
International Conference on Electronics, Information and Communication Engineering (EICE 2012)
By
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859971
No. of Pages:
1008
Publisher:
ASME Press
Publication date:
2012
eBook Chapter
51 Using Multiple Perspectives to Model the User in Ambient Intelligence
By
Jian He
,
Jian He
School of software engineering,
Beijing University of Technology
, Beijing, 100022
, China
School of Interactive Computing,
Georgia Institute of Technology Atlanta
, Georgia, 30332
, USA
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Guanghong Wang
,
Guanghong Wang
School of software engineering,
Beijing University of Technology
, Beijing, 100022
, China
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Brian Jones
,
Brian Jones
School of Interactive Computing,
Georgia Institute of Technology Atlanta
, Georgia, 30332
, USA
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Fan Yu
Fan Yu
CyberObject Corp
, suite 530 Norcross, 6525 the Corners Pkwy, Atlanta, Georgia, 30092
, USA
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Page Count:
6
-
Published:2012
Citation
He, J, Wang, G, Jones, B, & Yu, F. "Using Multiple Perspectives to Model the User in Ambient Intelligence." International Conference on Electronics, Information and Communication Engineering (EICE 2012). Ed. Lee, G. ASME Press, 2012.
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According to the decentralization of modeling tasks caused by user who is essentially nondeterministic and highly individual in Ambient Intelligence (AmI) environment, an interactive model based on multi-agent is firstly introduced to abstract the interaction between user and AmI environment. Secondly, the user is characterized by a mental model, a plan model, and a behavior model, which cooperatively describes both the static features and the dynamic behavior, and formal methods to describe these models are discussed at detail. Finally, the path which maps a natural scenario into a real system shows the benefits of using these models to design and develop AmI systems.
Abstract
Keywords
Introduction
The Interactive Model between User and AmI System
Model User in AmI Environment
Mental Model
Plan Model
Behavior Model
Application
AmI-Space Scenario
User Model in AmI-Space
Mapping User Model into Agents
Conclusions
Acknowledgments
References
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