ToPIN: A visual analysis tool for time-anchored comments in online educational videos

Ching Ying Sung, Fu Yin Cherng, Xun Yi Huang, Wen-Chieh Lin, Yicong Shen, Hao Chuan Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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 ThemeRiverto 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.

Original languageEnglish
Title of host publicationCHI EA 2016
Subtitle of host publication#chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages2185-2191
Number of pages7
ISBN (Electronic)9781450340823
DOIs
StatePublished - 7 May 2016
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: 7 May 201612 May 2016

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume07-12-May-2016

Conference

Conference34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
CountryUnited States
CitySan Jose
Period7/05/1612/05/16

Keywords

  • Comment analysis and visualization
  • Online educational video
  • Time-anchored commenting

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