VisGuide: User-Oriented Recommendations for Data Event Extraction

Yu Rong Cao, Xiao Han Li, Jia Yu Pan, Wen Chieh Lin

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

Data exploration systems have become popular tools with which data analysts and others can explore raw data and organize their observations. However, users of such systems who are unfamiliar with their datasets face several challenges when trying to extract data events of interest to them. Those challenges include progressively discovering informative charts, organizing them into a logical order to depict a meaningful fact, and arranging one or more facts to illustrate a data event. To alleviate them, we propose VisGuide - a data exploration system that generates personalized recommendations to aid users' discovery of data events in breadth and depth by incrementally learning their data exploration preferences and recommending meaningful charts tailored to them. As well as user preferences, VisGuide's recommendations simultaneously consider sequence organization and chart presentation. We conducted two user studies to evaluate 1) the usability of VisGuide and 2) user satisfaction with its recommendation system. The results of those studies indicate that VisGuide can effectively help users create coherent and user-oriented visualization trees that represent meaningful data events.

原文English
主出版物標題CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
發行者Association for Computing Machinery
ISBN(電子)9781450391573
DOIs
出版狀態Published - 29 4月 2022
事件2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 - Virtual, Online, United States
持續時間: 30 4月 20225 5月 2022

出版系列

名字Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
國家/地區United States
城市Virtual, Online
期間30/04/225/05/22

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