Abstract
In order to provide evaluation methods for the interface by AI design at the user experience side. First, this paper analyzes the human-computer interaction model, the display characteristics of the interface, and summarizes the influence factors of the interface on the user experience. Then studied the existing methods of building evaluation system. After that, using rough set theory and fuzzy analytic hierarchy process, the evaluation index system of user experience based interface design is established. According to the evaluation system, we can provide a meaningful optimization strategy for improving the user experience of the interface, in order to provide a better experience for the user in the process of using the AI design interface.
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Chen, Q., Wang, H. (2020). Research on Evaluation Index System of Artificial Intelligence Design Based on User Experience. In: Kurosu, M. (eds) Human-Computer Interaction. Design and User Experience. HCII 2020. Lecture Notes in Computer Science(), vol 12181. Springer, Cham. https://doi.org/10.1007/978-3-030-49059-1_27
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DOI: https://doi.org/10.1007/978-3-030-49059-1_27
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