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首页> 外文期刊>IEEE transactions on visualization and computer graphics >AdaptiviTree: Adaptive Tree Visualization for Tournament-Style Brackets
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AdaptiviTree: Adaptive Tree Visualization for Tournament-Style Brackets

机译：AdaptiviTree：比赛型支架的自适应树可视化

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摘要

Online pick''em games, such as the recent NCAA college basketball March Madness tournament, form a large and rapidly growing industry. In these games, players make predictions on a tournament bracket that defines which competitors play each other and how they proceed toward a single champion. Throughout the course of the tournament, players monitor the brackets to track progress and to compare predictions made by multiple players. This is often a complex sensemaking task. The classic bracket visualization was designed for use on paper and utilizes an incrementally additive system in which the winner of each match-up is rewritten in the next round as the tournament progresses. Unfortunately, this representation requires a significant amount of space and makes it relatively difficult to get a quick overview of the tournament state since competitors take arbitrary paths through the static bracket. In this paper, we present AdaptiviTree, a novel visualization that adaptively deforms the representation of the tree and uses its shape to convey outcome information. AdaptiviTree not only provides a more compact and understandable representation, but also allows overlays that display predictions as well as other statistics. We describe results from a lab study we conducted to explore the efficacy of AdaptiviTree, as well as from a deployment of the system in a recent real-world sports tournament.
机译：在线“选拔”游戏，例如最近的NCAA大学篮球March Madness锦标赛，构成了一个庞大且发展迅速的行业。在这些游戏中，玩家会在锦标赛括号中进行预测，该括号定义了哪些竞争对手互相比赛以及如何向单个冠军前进。在整个锦标赛过程中，玩家会监视括号以跟踪进度并比较多个玩家的预测。这通常是一项复杂的有意义的任务。经典的支架可视化设计用于纸上，并采用了增量累加系统，其中随着比赛的进行，下一轮比赛的每场比赛的获胜者都将被重写。不幸的是，这种表示方式需要大量空间，并且由于竞争对手会通过静态括号任意选择路径，因此很难快速了解比赛状态。在本文中，我们介绍了AdaptiviTree，这是一种新颖的可视化工具，可以自适应地变形树的表示并使用其形状来传达结果信息。 AdaptiviTree不仅提供了更紧凑，更易理​​解的表示形式，而且还允许显示预测和其他统计信息的叠加层。我们描述了一项为探索AdaptiviTree的功效而进行的实验室研究的结果，以及该系统在最近一次真实世界体育比赛中的部署所得出的结果。

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