基于眼动仪分析新闻网页的视觉浏览模式  

Analysis of visual browsing pattern of news webpages based on eye trackers

作　　者：刘星彤[1] 孟放[1] 

机构地区：[1]中国传媒大学信息工程学院,北京100024

出　　处：《电视技术》2016年第12期77-82,共6页Video Engineering

摘　　要：用户在浏览网页时,会因为视觉感知特性、自身浏览习惯及网页布局引导等因素的影响,对网页各区域的关注程度以及浏览顺序形成某种固有的视觉浏览模式。该浏览模式可为新闻网页的布局优化提供依据,提升用户对新闻信息的获取效率,并为网页的可用性提供评价标准。借助眼动仪获取用户在浏览网页时的视点运动信息。首先基于用户的浏览习惯,通过预实验将新闻网页划分为若干个兴趣区域;然后统计用户在不同区域的视点数据,以获取用户对不同区域的关注程度和浏览顺序,从而分析用户在网页浏览中的视觉浏览模式。以凤凰资讯网站为例,对用户在浏览新闻网页时的关注模式进行了分析。When users visit the webpage, some inherent pattern in browsing order and attention degree for different regions will be developed by factors such as visual instinct characteristics, browsing habits and page layout. This pattern can provide basis for layout optimization of news webpages, improve the efficiency of information acquisition and provide evaluation criteria for webpage usability. The captures user＇ s viewpoint information is captured based on eye tracker in the process of browsing. First, according to the user＇s browsing habits, the news webpage is divided into several regions of interest through the pre experiment. Then, viewpoint data is analyzed by different regions so as to get the user＇s attention degree and browsing order. This paper takes Phoenix News for example to analyze visual browsing pattern of news webpages.

关 键 词：眼动仪 浏览模式 网页可用性 

分 类 号：TN949.6[电子电信—信号与信息处理]