Network data plays a vital role in much of today's visualization research. However, there is no optimal graph layout for all possible tasks. The choice of layout heavily depends on the type of network and the task at hand and is often limited by the nature of traditional desktop setups. Recent studies have shown the potential of extended reality (XR) in the immersive exploration of network data. We introduce a multi-layout approach that allows users to effectively explore hierarchical network data in immersive space. The system leverages different layout techniques and interactions to provide an optimal view of the data depending on the task and the level of detail required to solve it. To evaluate our approach, we have conducted a user study comparing our design against the state of the art for immersive network visualization. Participants performed tasks at varying spatial scopes. The results show that our approach outperforms the baseline in spatially focused scenarios as well as when the whole network needs to be considered.
翻译:网络数据在今天的目视化研究中起着关键作用。 但是,对于所有可能的任务,没有最佳的图形布局。布局的选择在很大程度上取决于网络的类型和手头的任务,而且往往受到传统桌面设置的性质的限制。最近的研究显示,在对网络数据进行渗透式探索的过程中,扩大现实(XR)的潜力是潜在的。我们引入了多层布局方法,使用户能够有效地探索隐蔽空间的等级网络数据。系统利用不同的布局技术和互动,根据任务和解决它所需的细节水平,对数据提供最佳的视图。为了评估我们的方法,我们进行了用户研究,比较了我们的设计与静态网络视觉化的艺术状态。参与者在不同的空间范围内执行任务。结果显示,我们的方法在空间集中的情景中以及需要考虑整个网络时,超过了基线。