程璎珞 Cheng Ying luo

（沈阳大学，辽宁 沈阳 110000）

(Shenyang University, Shenyang, Liaoning Province 110000，China)

摘要：网站界面的页面布局要素承载着吸引用户视觉注意的重任。在人口老龄化社会背景下，如何找到适合老年用户的短视频网站页面布局成为较为重要的研究课题。文章从人因工程学视角出发，开展页面布局要素选择实验。通过将卷积神经网络（CNN）和k-means聚类算法结合对页面布局要素的实验样本进行选取；邀请被试进行浏览任务同时记录眼动数据，浏览结束进行主观注意度评价，确定设计样本。

Abstract:The layout elements of the website interface bear the heavy responsibility of attracting users' visual attention. Under the background of aging population society, how to find the page layout of short video website suitable for elderly users has become a more important research topic. From the perspective of human factor engineering, this paper carries out an experiment of page layout element selection. By combining convolutional neural network (CNN) and k-means clustering algorithm, experimental samples of page layout elements were selected. The subjects were invited to browse and record the eye movement data. After browsing, subjective attention was evaluated to determine the design samples.

关键词：人因工程学；页面布局；卷积神经网络；聚类算法；数据分析

Key words:human factor engineering; Page layout; Convolutional neural network; Clustering algorithm; Data analysis