Immersive Analytics with Abstract 3D Visualizations: A Survey

Kraus, Matthias; Fuchs, Johannes; Sommer, Björn; Klein, Karsten; Engelke, Ulrich; Keim, Daniel A.; Schreiber, Falk

doi:10.1111/cgf.14430

Cited by 52 publications

(30 citation statements)

References 104 publications

(387 reference statements)

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“…Spits were initially represented as polyhedra matching the threedimensional scale. We then opted for cylindrical or cuboid shapes of smaller size (for x and y dimensions) in order to facilitate viewing inside the archeostratigraphy (Brath 2014;Kraus et al 2021).…”

Section: D Visualization Of the Archeosequencementioning

confidence: 99%

New Visual Analytics Tool and Spatial Statistics to Explore Archeological Data: The Case of the Paleolithic Sequence of La Roche-à-Pierrot, Saint-Césaire, France

Couillet¹,

Rougier

Todisco³

et al. 2022

Journal of Computer Applications in Archaeology

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The archeological record of La Roche-à-Pierrot (France) is central to debates on the Middle to Upper Paleolithic transition. To this day, it is the only site to have provided a relatively complete Neandertal skeleton associated with an industry identified as transitional, the Châtelperronian, which had been attributed until then to Homo sapiens. The site was the subject of several excavation campaigns led by F. Lévêque in the 1970s, 1980s, and 1990s, and ongoing fieldwork resumed in 2013. Spatial representations and statistical analyses of the original excavation data are of invaluable help in assessing the coherence of the first archeological stratigraphy established in the 1970s. A 3D reconstruction of Lévêque's spit record was developed for exploratory purposes, based on reassessment of the faunal collection and completed by information recorded in the excavation notebooks filled out by Lévêque's team. It was then used in order to evaluate the feasibility of modeling the data recorded during the first excavations. Geovisualization tools, associated with appropriate 3D spatial statistics using the Queen contiguity applied to the archeological sequence, such as the similarity and coherence indices, provided an understanding of the spatial inconsistencies in the first archeological sequence, as well as revealed the spatial organization (geometry) of the archeostratigraphic units. The resulting interactive visualization application provides researchers with a new tool to explore the stratigraphic units spatially, as well as according to their indices. Where inconsistencies are observed, use of similarity and coherence indices allows discussion of any biases potentially related to topography, spatial heterogeneity of the deposits (facies), excavation history, or primary data acquisition/recording. Such spatial analyses contribute to a better understanding of site formation processes and provide novel means to explore archival information interactively, as well as to produce models including data from old and new excavations on the same site.

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Section: D Visualization Of the Archeosequencementioning

confidence: 99%

New Visual Analytics Tool and Spatial Statistics to Explore Archeological Data: The Case of the Paleolithic Sequence of La Roche-à-Pierrot, Saint-Césaire, France

Couillet¹,

Rougier

Todisco³

et al. 2022

Journal of Computer Applications in Archaeology

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“…Immersive environments (IE) are gaining popularity for data analy-sis [39,40], with increasing quality and availability of hardware devices and software tools, but the fundamentals of visual network analysis in IE are not yet investigated systematically. Mixed reality technologies such as virtual reality (VR) and augmented reality (AR) headsets have been recently investigated for visual network analysis, and have shown promising potential [14,17,38,42,60].…”

Section: Introductionmentioning

confidence: 99%

Visual Comparison of Networks in VR

Joos

Jaeger-Honz

Schreiber

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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“…Recent research in the area of Immersive Analytics [3,4] has indicated that the stereoscopic views and visual scalability of AR could improve the performance in data analysis tasks [5,6] and navigation processes [7]. In addition, its ability to connect the digital and physical world enables collaboration [4] and supports the perception of network structures [8].…”

Section: Introductionmentioning

confidence: 99%

“…Despite the great potential of an AR node-link diagram, there is still a lack of research on how to design the AR graph to enable engaging, interactive, and effective data visualization [1]. With the increasing importance of AR visualization and the growing size of data, how to design an AR graph is of utmost importance, together with user studies to practically evaluate the visualization [8].…”

Section: Introductionmentioning

confidence: 99%

An Interactive Augmented Reality Graph Visualization for Chinese Painters

Wang

2022

Electronics

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Recent research in the area of immersive analytics demonstrated the utility of augmented reality for data analysis. However, there is a lack of research on how to facilitate engaging, embodied, and interactive AR graph visualization. In this paper, we explored the design space for combining the capabilities of AR with node-link diagrams to create immersive data visualization. We first systematically described the design rationale and the design process of the mobile based AR graph including the layout, interactions, and aesthetics. Then, we validated the AR concept by conducting a user study with 36 participants to examine users’ behaviors with an AR graph and a 2D graph. The results of our study showed the feasibility of using an AR graph to present data relations and also introduced interaction challenges in terms of the effectiveness and usability with mobile devices. Third, we iterated the AR graph by implementing embodied interactions with hand gestures and addressing the connection between the physical objects and the digital graph. This study is the first step in our research, aiming to guide the design of the application of immersive AR data visualization in the future.

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Immersive Analytics with Abstract 3D Visualizations: A Survey

Cited by 52 publications

References 104 publications

New Visual Analytics Tool and Spatial Statistics to Explore Archeological Data: The Case of the Paleolithic Sequence of La Roche-à-Pierrot, Saint-Césaire, France

New Visual Analytics Tool and Spatial Statistics to Explore Archeological Data: The Case of the Paleolithic Sequence of La Roche-à-Pierrot, Saint-Césaire, France

Visual Comparison of Networks in VR

An Interactive Augmented Reality Graph Visualization for Chinese Painters

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