We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video broadcasting and online video platforms make watching basketball games increasingly accessible. Yet, for new or casual fans, watching basketball videos is often confusing due to their limited basketball knowledge and the lack of accessible, on-demand information to resolve their confusion. To assist casual fans in watching basketball videos, we compared the game-watching behaviors of casual and die-hard fans in a formative study and developed iBall based on the fndings. iBall embeds visualizations into basketball videos using a computer vision pipeline, and automatically adapts the visualizations based on the game context and users' gaze, helping casual fans appreciate basketball games without being overwhelmed. We confrmed the usefulness, usability, and engagement of iBall in a study with 16 casual fans, and further collected feedback from 8 die-hard fans.

翻译：我们提出iBall系统，这是一个通过目光调节的嵌入式可视化技术来提升篮球视频理解与娱乐体验的观赛系统。直播与视频平台使篮球比赛观看日益便捷，但新手及业余观众常因篮球知识有限、缺乏即时解惑的辅助信息而感到困惑。为帮助业余观众观看篮球视频，我们通过形成性研究对比了业余与铁杆球迷的观赛行为差异，并基于研究发现开发了iBall。该系统利用计算机视觉流水线将可视化元素嵌入篮球视频，并根据比赛情境与用户目光自动调整可视化内容，帮助业余观众在不感到信息过载的情况下欣赏比赛。通过16位业余观众的实验验证了iBall的实用性、可用性与娱乐性，并收集了8位铁杆球迷的反馈意见。