User-oriented generation of contextual visualization sequences

Yu Rong Cao, Jia Yu Pan, Wen-Chieh Lin

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

A visualization sequence is an effective representation of meaningful data stories.Existing visualization sequencing approaches use heuristics to arrange charts in a meaningful order.While they perform well in specific scenarios, they do not customize the generated sequences to individual users' preferences. In this work, we present VisGuide, an assistive data exploration system that helps a user create contextual visualization sequence trees by sequentially recommending meaningful charts tailoring to the user's preference on data exploration. Our results show that VisGuide can recommend chart sequences that interest users and are also considered meaningful by domain experts.

原文English
主出版物標題CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
發行者Association for Computing Machinery
ISBN(電子)9781450368193
DOIs
出版狀態Published - 25 4月 2020
事件2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States
持續時間: 25 4月 202030 4月 2020

出版系列

名字Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
國家/地區United States
城市Honolulu
期間25/04/2030/04/20

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