Familiarisation: Restructuring Layouts with Visual Learning Models.
IUI(2018)
摘要
In domains where users are exposed to large variations in visuo-spatial features among designs, they often spend excess time searching for common elements (features) in familiar locations. This paper contributes computational approaches to restructuring layouts such that features on a new, unvisited interface can be found quicker. We explore four concepts of familiarisation, inspired by the human visual system (HVS), to automatically generate a familiar design for each user.
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关键词
Visual search, Graphical layouts, Computational design, Adaptive user interfaces
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