DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos. (June 2022)

• Record Type: Journal Article
• Authors: Chen, S.; Li, S.; Li, Y.; Zhu, J.; Long, J.; Chen, S.; Zhang, J.; Yuan, X.
• Is Part Of: Computer graphics forum. Volume 41:Number 3(2022)
• Page Start: 429
• Page End: 440
• Publication Date: 2022-06
• Subjects: CCS Concepts -- Human‐centered computing → Visual analytics -- Visualization systems and tools; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14552
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: Danmu (Danmaku) is a unique social media service in online videos, especially popular in Japan and China, for viewers to write comments while watching videos. The danmu comments are overlaid on the video screen and synchronized to the associated video time, indicating viewers' thoughts of the video clip. This paper introduces an interactive visualization system to analyze danmu comments and associated viewer behaviors in a collection of videos and enable detailed exploration of one video on demand. The watching behaviors of viewers are identified by comparing video time and post time of viewers' danmu. The system supports analyzing danmu content and viewers' behaviors against both video time and post time to gain insights into viewers' online participation and perceived experience. Our evaluations, including usage scenarios and user interviews, demonstrate the effectiveness and usability of our system.