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  • 1. Forsell, C.
    et al.
    Seipel, Stefan
    Högskolan i Gävle, Institutionen för matematik, natur- och datavetenskap, Ämnesavdelningen för datavetenskap.
    Lind, M.
    Surface Glyphs for Efficient Visualization of Multivariate Data2006Inngår i: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 5, nr 2, s. 112-124Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    We present a first effort to evaluate the possible utility of a new type of surface glyphs intended for visualizations of multivariate spatial data. The glyphs are based on results from vision research suggesting that our perception of metric 3D structure is distorted and imprecise relative to the actual scene before us; only a class of qualitative properties of the scene is perceived with accuracy. These properties are best characterized as being invariant over affine but not Euclidean transformations. A large number of possible 3D glyphs for the visualization of spatial data can be constructed using such properties. One group of such glyphs is based on the local sign of surface curvature. We investigated this group in two visualization experiments. The results show that available sources of 3D structural information were sufficient for our subjects to make fast and accurate judgments. Some implications for visualization are also discussed.

  • 2.
    Kjellin, Andreas
    et al.
    Informationsvetenskap, Uppsala universitet.
    Winkler Pettersson, Lars
    Informationsteknologi, Uppsala universitet.
    Seipel, Stefan
    Informationsvetenskap, Uppsala universitet.
    Lind, Mats
    Informationsvetenskap, Uppsala universitet.
    Different levels of 3D: an evaluation of visualized discrete spatiotemporal data in space-time cubes2010Inngår i: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 9, nr 2, s. 152-164Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    New technologies and techniques allow novel kinds of visualizations and different types of 3D visualizations are constantly developed. We propose a categorization of 3D visualizations and, based on this categorization, evaluate two versions of a space-time cube that show discrete spatiotemporal data. The two visualization techniques used are a head-tracked stereoscopic visualization ('strong 3D') and a static monocular visualization ('weak 3D'). In terms of effectiveness and efficiency the weak 3D visualization is as good as the strong 3D and thus the need for advanced 3D visualizations in these kinds of tasks may not be necessary.

  • 3.
    Winkler Pettersson, Lars
    et al.
    Informationsteknologi, Uppsala universitet.
    Kjellin, Andreas
    Informationsvetenskap, Uppsala universitet.
    Lind, Mats
    Informationsvetenskap, Uppsala universitet.
    Seipel, Stefan
    Informationsvetenskap, Uppsala universitet.
    On the role of visual references in collaborative visualization2009Inngår i: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 9, nr 2, s. 98-114Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Multi-Viewer Display Environments (MVDE) provide unique opportunities to present personalized information to several users concurrently in the same physical display space. MVDEs can support correct 3D visualizations to multiple users, present correctly oriented text and symbols to all viewers and allow individually chosen subsets of information in a shared context. MVDEs aim at supporting collaborative visual analysis, and when used to visualize disjoint information in partitioned visualizations they even necessitate collaboration. When solving visual tasks collaboratively in a MVDE, overall performance is affected not only by the inherent effects of the graphical presentation but also by the interaction between the collaborating users.

    We present results from an empirical study where we compared views with lack of shared visual references in disjoint sets of information to views with mutually shared information. Potential benefits of 2D and 3D visualizations in a collaborative task were investigated and the effects of partitioning visualizations both in terms of task performance, interaction behavior and clutter reduction. In our study of a collaborative task that required only a minimum of information to be shared, we found that partitioned views with a lack of shared visual references were significantly less efficient than integrated views. However, the study showed that subjects were equally capable of solving the task at low error levels in partitioned and integrated views. An explorative analysis revealed that the amount of visual clutter was reduced heavily in partitioned visualization, whereas verbal and deictic communication between subjects increased. It also showed that the type of the visualization (2D/3D) affects interaction behavior strongly. An interesting result is that collaboration on complex geo-time visualizations is actually as efficient in 2D as in 3D.

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