CoSight: Exploring Viewer Contributions to Online Video Accessibility Through Descriptive Commenting
Ruolin Wang, Xingyu Bruce Liu, Biao Wang, Wayne Zhang, Ziqian Liao, Ziwen Li, Amy Pavel, Xiang 'Anthony' Chen
2025年份
1被引次数
1顶会引用
摘要
Figure 1: CoSight, a Chrome extension developed as a design probe to explore how lightweight interface nudges might encourage accessibility contributions from sighted video viewers when watching and commenting. The prototype augments YouTube video pages with features inspired by Fogg's Behavior Model [24], including color labels to highlight accessibility gaps (sparks), hints and references to guide contributions (facilitators), and reminders at key moments (signals).
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