Abstract
In the process of product development, the evaluation of User Interface (UI) plays a critical role, which greatly influences users' satisfaction. The paper presents a new method to build a User Interface Evaluation Model between Interface Quality and Appearance Variables (AVs) of UI based on user preference metric and improved Principal Component Regression, not only remaining all the effective original AVs but also overcoming the multicollinearity between them. Final tests show that the model built by the new methods can provide designers with a theoretical and practical basis for UI improvement to any given product easily.
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