.png){kind=icon}
返回
Webpage Validation by Visualizing Importance Area
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2023.3327743.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Web designers should develop webpages that are easy to navigate and engage users. However, an aesthetic design does not guarantee usability. Users tend to avoid webpages with low usability, resulting in poor service and sales. One cause of inadequate usability is the difference between the intended content and what the users see on the webpage. On the other hand, visual saliency is the ease with which the human eye notices something. Visual saliency maps (VSMs) are used to recognize areas in an image where people pay attention. VSMs often represent the visual features of landscapes and human faces. Here, we propose a method to generate a webpage-specific VSM based on the layout. Our method computes and visualizes the visual salience level for each webpage element, allowing web designers to easily recognize webpage elements with a high visual prominence. An evaluation revealed that the quality of VSMs generated by our method is higher than those generated by existing methods. Moreover, the VSMs generated by our method are easier to recognize than those of existing methods.
Keyword:
Visual saliency
webpage
sightline
usability
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
分享收藏SATSal: A Multi-Level Self-Attention Based Architecture for Visual Saliency PredictionSATSal: 一种基于多层次自注意的视觉显著性预测架构.png)
IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏Death Receptor 3 (DR3) Is Expressed By Innate Lymphoid Cells (ILC) and Ligation By Tumor Like Antigen-1 (TL1A) Leads To Costimulation and Significant ILC ExpansionBlood
BloodIF0
PREAI
分享收藏
查看更多内容