Abstract
In order to improve the user’s experience in using mobile applications, a layered context-aware agent for mobile applications was proposed based on user’s needs hierarchy. In the proposed model, the layers were employed to distinguish different types of needs in the hierarchy and the priority of different layers was used to determine the time for showing the recommendation information. At first, the agent framework was proposed. And then, based on the proposed framework, the layered context-aware agent was developed based on the Maslow’s theory. At last, an experiment was conducted on the comparison between two methods of the random model and the proposed layered model for sending recommendation messages. And the result verified that the proposed agent was effective.
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