AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks

AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks

Abstract Leveraging the power of computational methods, AI can perform effective strategies in intelligent design. Researchers are pushing the boundaries of AI, developing computational systems to solve complex questions. The authors investigate the association of user preference for UI and deep ima...

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Bibliographic Details
Main Authors: Baixi Xing, Hanfei Cao, Lei Shi, Huahao Si, Lina Zhao
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:Cognitive Computation and Systems
Subjects:
computational aesthetics
deep convolutional neural networks
UI aesthetic assessment
user preference
Online Access:https://doi.org/10.1049/ccs2.12055

Internet

https://doi.org/10.1049/ccs2.12055

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