Analyzing users' preferred color on websites based on demographic features

Neda Mohammadian, Fakhroddin Noorbehbahani
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引用次数: 1

Abstract

Despite the increasing use of internet by Iranians, the bounce rates of the e-commerce websites are still high. This is because the e-commerce institutions are not familiar with designing websites based on their own target market preferences. So the purpose of this paper is to identify and to evaluate the effective visual factors for attracting online users. This study has been conducted by an attitude assessment through an online user questionnaire to collect demographic data that influence the user's color preferences and interests. Next, statistical analysis was done through a variety of tests including T-Test, ANOVA-Test and Duncan-Test. These tests are employed to find the relationship between user's demographic features and his/her preferred color on websites. The results of this study can be useful to personalize the websites exploiting the extracted rules of colors.
根据人口统计特征分析用户在网站上的首选颜色
尽管伊朗人越来越多地使用互联网,但电子商务网站的跳出率仍然很高。这是因为电子商务机构不熟悉根据自己的目标市场偏好来设计网站。因此,本文的目的是识别和评估有效的视觉因素,以吸引在线用户。本研究通过在线用户问卷的态度评估来收集影响用户颜色偏好和兴趣的人口统计数据。然后通过T-Test、ANOVA-Test、Duncan-Test等多种检验进行统计分析。这些测试是用来发现用户的人口统计特征和他/她在网站上喜欢的颜色之间的关系。本研究的结果可以用于个性化的网站利用提取的规则的颜色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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