基于眼动数据的网络地图界面用户兴趣分析方法

发布时间：2018-04-02 07:29

本文选题：眼动数据　切入点：网络地图界面　出处：《地理与地理信息科学》2017年02期

【摘要】：分析网络地图界面用户兴趣对完善网络地图界面设计和提升网络地图用户体验十分重要。现有的分析方法大多针对人机交互数据进行研究,无法直接反映用户的真实兴趣。为解决此问题,该文提出了基于眼动数据的网络地图界面用户兴趣分析方法。首先通过眼动实验,获取了用户在网络地图兴趣区内的注视点数量,并利用熵权法计算用户兴趣度;其次,融入用户背景信息,建立了网络地图用户兴趣信息集,通过决策树ID3算法对其进行分类,归纳提取了用户兴趣分析结果集;最后利用查全率、查准率与F值进行分析结果评价。实验表明,分析结果集匹配成功率为90%,基于眼动数据的用户兴趣分析成功率为85%,高于基于Web日志的用户兴趣分析结果,证明了该方法能有效分析网络地图界面用户兴趣。
[Abstract]:The analysis of network map interface to improve the network map user interface design and enhance the user experience of web map is very important. The existing analysis methods are based on the data of the human-computer interaction research, can not reflect the user's interest directly. To solve this problem, this paper puts forward the analysis method of network map interface user interest based on eye movement data. First through eye movement experiment, get the number of users in the network map in the fixation point, and calculate the user interest degree by using the method of entropy right; secondly, integrate the user background information, establish a network map user interest information set by ID3 decision tree algorithm to classify the abstracted user interest analysis results set; finally the analysis results of evaluation of the precision and recall, F-measure. Experimental results show that the analysis of the result set, the success rate was 90%, the eye tracking data based on user interest The success rate of interest analysis is 85%, which is higher than the result of user interest analysis based on Web log, which proves that this method can effectively analyze the user interest of the network map interface.

【作者单位】：郑州测绘学院;
【基金】：国家自然科学基金资助项目(41171353) 国家863计划资助项目(2012AA12A404) 国家自然青年基金项目(41501507)
【分类号】：P209

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