Intelligent Context-Aware and Adaptive Interface for Mobile LBS

Context-aware user interface plays an important role in many human-computer Interaction tasks of location based services. Although spatial models for context-aware systems have been studied extensively, how to locate specific spatial information for users is still not well resolved, which is importa...

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Bibliographic Details
Published in:Computational Intelligence and Neuroscience 2015-01, Vol.2015 (2015), p.642-651
Main Authors: Feng, Jiangfan, Liu, Yanhong
Format: Article
Language:English
Subjects:
Adaptation
Advantages
Algorithms
Awareness
Cell Phone
Design engineering
Efficiency
Feasibility
Geographic Information Systems
Human
Humans
Information systems
Intelligence
Location-based services
Mathematical models
Mathematical research
Preferences
Science
Sensors
Spatial Navigation
Tasks
Test systems
User interfaces
User-Computer Interface
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Summary:Context-aware user interface plays an important role in many human-computer Interaction tasks of location based services. Although spatial models for context-aware systems have been studied extensively, how to locate specific spatial information for users is still not well resolved, which is important in the mobile environment where location based services users are impeded by device limitations. Better context-aware human-computer interaction models of mobile location based services are needed not just to predict performance outcomes, such as whether people will be able to find the information needed to complete a human-computer interaction task, but to understand human processes that interact in spatial query, which will in turn inform the detailed design of better user interfaces in mobile location based services. In this study, a context-aware adaptive model for mobile location based services interface is proposed, which contains three major sections: purpose, adjustment, and adaptation. Based on this model we try to describe the process of user operation and interface adaptation clearly through the dynamic interaction between users and the interface. Then we show how the model applies users’ demands in a complicated environment and suggested the feasibility by the experimental results.
ISSN:1687-5265
1687-5273
DOI:10.1155/2015/489793