Most sports visualizations rely on a combination of spatial, highly temporal, and user-centric data, making sports a challenging target for visualization. Emerging technologies, such as augmented and mixed reality (AR/XR), have brought exciting opportunities along with new challenges for sports visualization. We share our experience working with sports domain experts and present lessons learned from conducting visualization research in SportsXR. In our previous work, we have targeted different types of users in sports, including athletes, game analysts, and fans. Each user group has unique design constraints and requirements, such as obtaining real-time visual feedback in training, automating the low-level video analysis workflow, or personalizing embedded visualizations for live game data analysis. In this paper, we synthesize our best practices and pitfalls we identified while working on SportsXR. We highlight lessons learned in working with sports domain experts in designing and evaluating sports visualizations and in working with emerging AR/XR technologies. We envision that sports visualization research will benefit the larger visualization community through its unique challenges and opportunities for immersive and situated analytics.
翻译:多数体育视觉化取决于空间、高时空和以用户为中心的数据组合,使体育成为视觉化的一个具有挑战性的目标。新兴技术,如扩大和混合的现实(AR/XR),带来了令人振奋的机会,同时也带来了体育视觉化的新挑战。我们与体育领域专家分享了我们的工作经验,并介绍了在体育XR中进行视觉化研究的经验教训。在以往的工作中,我们针对体育领域不同类型的用户,包括运动员、游戏分析家和粉丝。每个用户群体都有独特的设计限制和要求,如在培训中获得实时视觉反馈,对低级视频分析工作流程进行自动化,或将个人嵌入的视觉化用于现场游戏数据分析。在本文中,我们综合了我们在体育领域XR工作中发现的最佳做法和陷阱。我们强调在与体育领域专家合作设计和评价体育视觉化以及与新兴的AR/XR技术合作方面的经验教训。我们设想,体育视觉化研究将通过其浸透和定位分析的独特挑战和机遇,使更大的视觉化社区受益。