Title | ||
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ToPIN: A Visual Analysis Tool for Time-anchored Comments in Online Educational Videos. |
Abstract | ||
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Online videos are widely used to share content for a variety of entertainment, educational and other purposes. To support social interaction, several video-sharing websites Including Ustream, niconico, and Twitch - allow users to post messages while they are watching videos. As users' comments can be sorted according to the timecode of each video, this is known as time-anchored commenting. We propose a novel visualization method, ToPIN, which is able to analyze and categorize the topics and content types of users' time-anchored comments. We have also developed a visualization interface that combines the visualization techniques of ToPIN and ThemeRiver to generate additional valuable insights for analysts seeking to make sense of time-anchored comments. To test the utility of our approach, we visualized time-anchored commenting data from two online course videos and invited the course instructors to evaluate our system.
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Year | Venue | Field |
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2016 | CHI Extended Abstracts | Categorization,World Wide Web,Visualization,Computer science,Entertainment,Online course,Human–computer interaction,Timecode,Multimedia,Creative visualization |
DocType | ISBN | Citations |
Conference | 978-1-4503-4082-3 | 1 |
PageRank | References | Authors |
0.34 | 10 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ching-Ying Sung | 1 | 22 | 3.19 |
Xun-Yi Huang | 2 | 3 | 1.38 |
Yicong Shen | 3 | 3 | 0.70 |
Fu-Yin Cherng | 4 | 41 | 5.60 |
Wen-Chieh Lin | 5 | 476 | 44.50 |
Hao-Chuan Wang | 6 | 296 | 45.80 |