Investigating the Use of Spatial Interaction for 3D Data Visualization on Mobile Devices

Büschel, Wolfgang; Reipschläger, Patrick; Langner, Ricardo; Dachselt, Raimund

doi:10.1145/3132272.3134125

Cited by 38 publications

(18 citation statements)

References 49 publications

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“…For example, Beaudouin-Lafon et al [11] used a prop of a human brain to rotate MRI data on a large display wall, similar to those used by Hinckley et al [58]. Similarly, hand-held devices that serve as peepholes into the virtual scene (e. g., [26,137]) can be moved around to navigate the visualization. Reconfiguration: Reconfiguration often includes assigning attributes to visual variables, e. g., to the axes of a visualization.…”

Section: Designing Interactions For Immersive Analyticsmentioning

confidence: 99%

“…To this end, one can also consider setups that only consist of personal devices ( Figure 6). Without the use of shared displays, screen space is limited and the common context that would otherwise be given by the display needs to be defined differently, e. g., by virtually placing the scene on a physical surface [26].…”

Section: Personal Displays + Large Screen Collaborative Spacementioning

confidence: 99%

“…Fig. 6: Tracked tablet used as a peephole into a 3D information space that is located on a table [26].…”

Section: Cavementioning

confidence: 99%

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Interaction for Immersive Analytics

Büschel

Chen

Dachselt

et al. 2018

Lecture Notes in Computer Science

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In this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal. Finally, we look at some emerging system designs that suggest future directions.

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Section: Designing Interactions For Immersive Analyticsmentioning

confidence: 99%

Section: Personal Displays + Large Screen Collaborative Spacementioning

confidence: 99%

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Interaction for Immersive Analytics

Büschel

Chen

Dachselt

et al. 2018

Lecture Notes in Computer Science

Self Cite

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“…In our case, we used a reasonably difficult task, so that results do depend on how fast participants use the interface. Büschel et al (2017) evaluated user strategies in 3D data visualization using a tablet in two conditions: (a) with the view spatially mapped to the device position and, (b) using the touch surface to control an orbiting camera. They found that participants (n = 18) adopted similar strategies in both conditions by moving the camera to appropriate viewpoints.…”

Section: Walking and Data Visualizationmentioning

confidence: 99%

Move the Object or Move Myself? Walking vs. Manipulation for the Examination of 3D Scientific Data

Lages

Bowman

2018

Front. ICT

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Physical walking is consistently considered a natural and intuitive way to acquire viewpoints in a virtual environment. However, research findings also show that walking requires cognitive resources. To understand how this tradeoff affects the interaction design for virtual environments; we evaluated the performance of 32 participants, ranging from 18 to 44 years old, in a demanding visual and spatial task. Participants wearing a virtual reality (VR) headset counted features in a complex 3D structure while walking or while using a 3D interaction technique for manipulation. Our results indicate that the relative performance of the interfaces depends on the spatial ability and game experience of the participants. Participants with previous game experience but low spatial ability performed better using the manipulation technique. However, walking enabled higher performance for participants with low spatial ability and without significant game experience. These findings suggest that the optimal design choices for demanding visual tasks in VR should consider both controller experience and the spatial ability of the target users.

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“…tangible displays where the location and orientation of the display itself can be a form of input, while the display shows the projected 3D view depending on this input. For example, the tangible display can show the view of a virtual camera that is attached to the tangible device (e. g., [13], [57]) or the viewer (e. g., [7]), or it can function as a slicing plane through the data (e. g., [81]), in both cases with respect to a (typically) invisible 3D dataset that exists in the same physical space as the tangible device. Yet, its existence is only established in the u p mapping from O to U .…”

Section: Exploration Of Volumetric Data On a 2d Touch Screenmentioning

confidence: 99%

A Model of Spatial Directness in Interactive Visualization

Brückner

Isenberg

Ropinski

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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We discuss the concept of directness in the context of spatial interaction with visualization. In particular, we propose a model that allows practitioners to analyze and describe the spatial directness of interaction techniques, ultimately to be able to better understand interaction issues that may affect usability. To reach these goals, we distinguish between different types of directness. Each type of directness depends on a particular mapping between different spaces, for which we consider the data space, the visualization space, the output space, the user space, the manipulation space, and the interaction space. In addition to the introduction of the model itself, we also show how to apply it to several real-world interaction scenarios in visualization, and thus discuss the resulting types of spatial directness, without recommending either more direct or more indirect interaction techniques. In particular, we will demonstrate descriptive and evaluative usage of the proposed model, and also briefly discuss its generative usage.

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Investigating the Use of Spatial Interaction for 3D Data Visualization on Mobile Devices

Cited by 38 publications

References 49 publications

Interaction for Immersive Analytics

Interaction for Immersive Analytics

Move the Object or Move Myself? Walking vs. Manipulation for the Examination of 3D Scientific Data

A Model of Spatial Directness in Interactive Visualization

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