基于用户体验维度的网站访问者特征分析

Maxim Bakaev, A. O. Pogorelova
{"title":"基于用户体验维度的网站访问者特征分析","authors":"Maxim Bakaev, A. O. Pogorelova","doi":"10.1109/apeie52976.2021.9647688","DOIUrl":null,"url":null,"abstract":"Profiling website visitors is necessary to better tailor the features that affect the overall user experience and ultimately achieve higher customer satisfaction. Our paper considers the usage of such dimensions of visual impression as Complexity, Aesthetics and Orderliness to identify statistically differing user groups. The analysis is based on the experiment with 70 participants of different demographics and professional occupations who evaluated 497 university websites. The results suggest that the profiling of visitors should be specific to the website goals. For instance Complexity impression was not affected by the gender factor, but business and technical specialists did evaluate it differently. Moreover, the latter groups of specialists also associated higher Complexity with lower Aesthetics, whereas the other groups in the study, including the students, thought otherwise. We also demonstrated that the demarcating age value was 19, after which the visual preferences seemed to change dramatically. The results of our study might be useful for both theoreticians working in human-computer interaction and to practicing website designers and user researchers.","PeriodicalId":272064,"journal":{"name":"2021 XV International Scientific-Technical Conference on Actual Problems Of Electronic Instrument Engineering (APEIE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Profiling of Website Visitors Based on Dimensions of User Experience\",\"authors\":\"Maxim Bakaev, A. O. Pogorelova\",\"doi\":\"10.1109/apeie52976.2021.9647688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Profiling website visitors is necessary to better tailor the features that affect the overall user experience and ultimately achieve higher customer satisfaction. Our paper considers the usage of such dimensions of visual impression as Complexity, Aesthetics and Orderliness to identify statistically differing user groups. The analysis is based on the experiment with 70 participants of different demographics and professional occupations who evaluated 497 university websites. The results suggest that the profiling of visitors should be specific to the website goals. For instance Complexity impression was not affected by the gender factor, but business and technical specialists did evaluate it differently. Moreover, the latter groups of specialists also associated higher Complexity with lower Aesthetics, whereas the other groups in the study, including the students, thought otherwise. We also demonstrated that the demarcating age value was 19, after which the visual preferences seemed to change dramatically. The results of our study might be useful for both theoreticians working in human-computer interaction and to practicing website designers and user researchers.\",\"PeriodicalId\":272064,\"journal\":{\"name\":\"2021 XV International Scientific-Technical Conference on Actual Problems Of Electronic Instrument Engineering (APEIE)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 XV International Scientific-Technical Conference on Actual Problems Of Electronic Instrument Engineering (APEIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/apeie52976.2021.9647688\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XV International Scientific-Technical Conference on Actual Problems Of Electronic Instrument Engineering (APEIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/apeie52976.2021.9647688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

分析网站访问者是必要的,以便更好地定制影响整体用户体验的功能,并最终实现更高的客户满意度。本文考虑使用视觉印象的复杂性、美观性和有序性等维度来识别统计上不同的用户群体。这项分析是基于对70名不同人口统计和职业的参与者进行的实验,他们对497所大学的网站进行了评估。结果表明,对访问者的分析应该针对网站的目标。例如,复杂性印象不受性别因素的影响,但业务和技术专家确实对其进行了不同的评估。此外,后一组专家还将更高的复杂性与更低的美学联系在一起,而研究中的其他组,包括学生,则不这么认为。我们还证明了区分年龄值为19岁,之后的视觉偏好似乎发生了巨大的变化。我们的研究结果可能对从事人机交互工作的理论家和实践网站设计师和用户研究人员都有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Profiling of Website Visitors Based on Dimensions of User Experience
Profiling website visitors is necessary to better tailor the features that affect the overall user experience and ultimately achieve higher customer satisfaction. Our paper considers the usage of such dimensions of visual impression as Complexity, Aesthetics and Orderliness to identify statistically differing user groups. The analysis is based on the experiment with 70 participants of different demographics and professional occupations who evaluated 497 university websites. The results suggest that the profiling of visitors should be specific to the website goals. For instance Complexity impression was not affected by the gender factor, but business and technical specialists did evaluate it differently. Moreover, the latter groups of specialists also associated higher Complexity with lower Aesthetics, whereas the other groups in the study, including the students, thought otherwise. We also demonstrated that the demarcating age value was 19, after which the visual preferences seemed to change dramatically. The results of our study might be useful for both theoreticians working in human-computer interaction and to practicing website designers and user researchers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信