A Context-based Framework Generating Personalized User Interface

نویسندگان

  • Jaewon Moon
  • Dong-Hee Shin
چکیده

With recent advances in the technology of big data, many service providers have been trying to derive meaningful contexts from such data. Context-aware services can offer high quality service from the consumer’s perspective, since most services are used in varying contexts and environments. The results from many studies on adaptive user interface have shown that context-aware user interfaces can be faster and preferable to non-adaptive counterparts. In this paper, we propose a novel framework providing a context adaptive user interface which automatically chooses appropriate Resources from a UI Page-Set consisting of multiple Resources. The proposed framework aimed to provide service directors who are not knowledgeable about UI development with opportunities for making context-aware UI, and to achieve high-quality user experience in complex services.

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تاریخ انتشار 2015