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Dynamic Content Adaptation in Mobile Applications Driven by Intentional Multi-Agent Systems
Abstract
The proliferation of wireless technologies combined with the “anywhere and at any time” paradigm poses new scenarios for content provisioning. These scenarios demand appropriate technological support capable of dynamically adapting different contents according to the context under analysis, which depends on the user preferences, the device features, the network specification, the contract information, and the content description. Therefore, mobile applications must be able to dynamically manage different profiles by considering specific issues, such as: user satisfaction, distributed environments, heterogeneous devices and content personalization. Contributing to this field, the authors propose an approach centered on intentional Multi-Agent Systems to deal with the dynamic content adaptation in mobile applications. A dynamic database based on a meta-architecture supports the storage and the retrieving of the profiles’ information. Moreover, the authors developed a framework, which is provided as an API to promote the reuse of our content adaptation approach in different mobile projects. In this chapter, they describe their proposal and present its application to a case study from the dental clinic domain. Moreover, they evaluate the dental clinic application and the experience acquired is also reported on this work. Finally, the authors compare their approach with some related work by emphasizing its benefits and drawbacks.
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