DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
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.
Description
CCS Concepts: Human-centered computing --> Visual analytics; Visualization systems and tools
@article{10.1111:cgf.14552,
journal = {Computer Graphics Forum},
title = {{DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos}},
author = {Chen, Shuai and Li, Sihang and Li, Yanda and Zhu, Junlin and Long, Juanjuan and Chen, Siming and Zhang, Jiawan and Yuan, Xiaoru},
year = {2022},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.14552}
}