“…Fortunato et al [18] give an exhaustive overview of this topic. Greffard et al [19] have investigated the potential of stereoscopy while Cordeil et al [11] have compared different types of immersive technology for these types of tasks. Although this proves the potential of VR in that area, we limit ourselves to the type of tasks formerly described [46], where communities are already established.…”
Section: Network Communities and Tasksmentioning
confidence: 99%
“…Network visualizations are particularly suitable, as improved task performance was observed in multiple studies [58][59][60]. Aside from low-level tasks like the ones that the former authors investigated, community identification tasks have also been shown to benefit from stereoscopy [19].…”
Figure 1: A view of a hierarchical network rendered with our system. A single group is expanded. Its nodes and intra-group connectivity can be inspected in detail while preserving inter-group context.
“…Fortunato et al [18] give an exhaustive overview of this topic. Greffard et al [19] have investigated the potential of stereoscopy while Cordeil et al [11] have compared different types of immersive technology for these types of tasks. Although this proves the potential of VR in that area, we limit ourselves to the type of tasks formerly described [46], where communities are already established.…”
Section: Network Communities and Tasksmentioning
confidence: 99%
“…Network visualizations are particularly suitable, as improved task performance was observed in multiple studies [58][59][60]. Aside from low-level tasks like the ones that the former authors investigated, community identification tasks have also been shown to benefit from stereoscopy [19].…”
Figure 1: A view of a hierarchical network rendered with our system. A single group is expanded. Its nodes and intra-group connectivity can be inspected in detail while preserving inter-group context.
Extended Reality (XR) systems (which encapsulate AR, VR and MR) is an emerging field which enables the development of novel visualization and interaction techniques. To develop and to assess such techniques, researchers and designers have to face choices in terms of which development tools to adopt, and with very little information about how such tools support some of the very basic tasks for information visualization, such as selecting data items, linking and navigating. As a solution, we propose Flex-ER, a flexible web-based environment that enables users to prototype, debug and share experimental conditions and results. Flex-ER enables users to quickly switch between hardware platforms and input modalities by using a JSON specification that supports both defining interaction techniques and tasks at a low cost. We demonstrate the flexibility of the environment through three task design examples: brushing, linking and navigating. A qualitative user study suggest that Flex-ER can be helpful to prototype and explore different interaction techniques for immersive analytics. CCS Concepts: • Human-centered computing → User studies; Empirical studies in HCI; Empirical studies in visualization; Mixed / augmented reality; Virtual reality.
“…Earlier studies showed that the interaction with multiple 3D visualizations in 2D displays does not meet usability criteria [9]. This lack of usability could be overcome if the exploration happens in immersive environments, where the user has an extra degree of freedom for interacting with 3D visualizations [2].…”
The interaction with multiple 3D visualizations in 2D conventional displays lacks usability and does not guarantee the usefulness the extra dimension provides. Immersive visualization techniques can potentially fulfill these gaps by providing 3D visualizations and novel 3D interactions simultaneously. In this paper, we propose a new approach for interacting with composite and multiple coordinated visualizations in immersive virtual environments. We use a 3D-WIMP-like concept, i.e., virtual cubes (Spaces), for encapsulating views, which the user can freely control in the virtual environment. We compared our approach with a desktop version to evaluate its performance when dealing with composed tasks.
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