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- W2892094692 abstract "As the ubiquity and power of mobile devices continue rapid developing, smartphone vendors introduce more and more types of portable electronics into the market. Since these smart portable devices have different capabilities (performance, screen size, screen resolution, etc.), it is challenging to develop tailored user interfaces for multiple devices. In this paper, we propose an intelligent user interface transformation (IUIT) framework, using the machine-learning algorithm to transform the layout, appearance, and content of user interfaces dynamically regarding device profiles. Besides, we design the prototype system, and by evaluating the usability and feasibility of the system, we demonstrate it can deliver an ideal viewing experience (suitable for reading and navigation) across a wide range of devices." @default.
- W2892094692 created "2018-09-27" @default.
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- W2892094692 date "2018-05-01" @default.
- W2892094692 modified "2023-09-23" @default.
- W2892094692 title "Adaptive user interface optimization for multi-screen based on machine learning" @default.
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- W2892094692 doi "https://doi.org/10.1109/cscwd.2018.8465348" @default.
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