The Quest for : Embedded Visualization for Augmenting Basketball Game Viewing Experiences
The Quest for : Embedded Visualization for Augmenting Basketball Game Viewing Experiences
复制标题
追求：增强篮球比赛观看体验的嵌入式可视化
DOI：
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发表时间：
2022
影响因子：
5.2
通讯作者：
Hanspeter Pfister
中科院分区：
文献类型：
--
作者：
Tica Lin;Zhutian Chen;Yalong Yang;Daniele Chiappalupi;Johanna Beyer;Hanspeter Pfister
体育比赛数据正变得越来越复杂，通常由多变量数据组成，例如球员表现统计数据、历史团队记录和运动员的位置跟踪信息。虽然已经为体育分析师开发了许多可视化分析系统来获得见解，但很少有工具针对球迷来提高他们在现场比赛中对体育数据的理解和参与。通过在实际的游戏视图中呈现额外的数据，嵌入式可视化有可能增强球迷的游戏观看体验。然而，很少有人知道如何设计这种嵌入到实时游戏中的可视化。在这项工作中，我们提出了一个以用户为中心的设计研究开发交互式嵌入式可视化的篮球球迷，以改善他们的现场观看比赛的经验。我们首先进行了一项形成性研究，以描述篮球迷的比赛中分析行为和任务。基于我们的研究结果，我们提出了一个设计框架，通知嵌入式可视化的设计基于特定的数据搜索上下文。根据设计框架，我们提出了五种新颖的嵌入式可视化设计，针对球迷确定的五个代表性的背景下，包括射击，进攻，防守，球员评价，球队比较。然后，我们开发了Omnioculars，这是一个交互式篮球比赛观看原型，其特点是为球迷的比赛数据分析提供了嵌入式可视化。我们评估了Omnioculars在模拟篮球比赛与篮球迷。研究结果表明，我们的设计支持个性化的游戏中数据分析，并提高游戏的理解和参与。
Sports game data is becoming increasingly complex, often consisting of multivariate data such as player performance stats, historical team records, and athletes' positional tracking information. While numerous visual analytics systems have been developed for sports analysts to derive insights, few tools target fans to improve their understanding and engagement of sports data during live games. By presenting extra data in the actual game views, embedded visualization has the potential to enhance fans' game-viewing experience. However, little is known about how to design such kinds of visualizations embedded into live games. In this work, we present a user-centered design study of developing interactive embedded visualizations for basketball fans to improve their live game-watching experiences. We first conducted a formative study to characterize basketball fans' in-game analysis behaviors and tasks. Based on our findings, we propose a design framework to inform the design of embedded visualizations based on specific data-seeking contexts. Following the design framework, we present five novel embedded visualization designs targeting five representative contexts identified by the fans, including shooting, offense, defense, player evaluation, and team comparison. We then developed Omnioculars, an interactive basketball game-viewing prototype that features the proposed embedded visualizations for fans' in-game data analysis. We evaluated Omnioculars in a simulated basketball game with basketball fans. The study results suggest that our design supports personalized in-game data analysis and enhances game understanding and engagement.
DOI：
10.1145/3411764.3445400
发表时间：
2021-05
期刊：
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子：
--
作者：
Arjun Srinivasan;Nikhila Nyapathy;Bongshin Lee;S. Drucker;J. Stasko
通讯作者：
Arjun Srinivasan;Nikhila Nyapathy;Bongshin Lee;S. Drucker;J. Stasko
如何问该说什么？：评估数据可视化自然语言界面的策略
影响因子：
1.8
作者：
Srinivasan, Arjun;Stasko, John;Keefe, Daniel F.;Tory, Melanie
通讯作者：
Tory, Melanie