Table of Contents Author Guidelines Submit a Manuscript
Computational Intelligence and Neuroscience
Volume 2015, Article ID 489793, 10 pages
Research Article

Intelligent Context-Aware and Adaptive Interface for Mobile LBS

1College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2Key Laboratory of Instrument Science and Dynamic Test, North University of China, Taiyuan 030051, China

Received 5 November 2014; Revised 27 January 2015; Accepted 4 February 2015

Academic Editor: Dongrong Xu

Copyright © 2015 Jiangfan Feng and Yanhong Liu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.