iSphere

Du, Fan; Cao, Nan; Lin, Yu‐Ru; Xu, Panpan; Tong, Hanghang

doi:10.1145/3025453.3025628

Cited by 27 publications

(13 citation statements)

References 50 publications

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“…Sarkar and Brown introduced a graphical fisheye view [48] that moves nodes out of the focal area based on their distance to the latter. In a similar direction, but using different geometries, Munzner presented a hyperbolic fisheye view [49] and Du et al presented i-Sphere [50]. Depending on the actual method, this may involve de-emphasis by position and by size.…”

Section: B Visually Emphasise or De-emphasise Elementsmentioning

confidence: 99%

“…Following the goals for focus and context approaches identified by Cohé et al [51], all transformations were animated (interpolation) and group-internal distortions were avoided (relevant for conditions de-emphasise by position (DP) and de-emphasise by size (DS)). Minimising the distortion in interactive network visualisations has been shown to be beneficial through several experiments [17], [50], [51]. All node positions for the interactions were pre-computed to ensure efficient animations during interaction.…”

Section: B Interactive Visual Transformation Conditionsmentioning

confidence: 99%

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De-Emphasise, Aggregate, and Hide: A Study of Interactive Visual Transformations for Group Structures in Network Visualisations

Aichem,

Klein,

Kobourov

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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Analysts often have to work with and make sense of large complex networks. One possible solution is to make visualisations interactive, providing users with a way to control visual clutter. Although several interactive methods have been proposed, there may be situations where some of them are too specific to be directly applicable. We have therefore identified several underlying low-level visual transformations, steered by group structures in the networks, and investigated their individual effects on user performance. This may both facilitate the development of further methods and support the generation of new hypotheses. We conducted an exploratory online experiment with 300 participants, involving five tasks, one control condition, and five group-based visual transformations: de-emphasising groups by opacity, position or size, aggregating groups, and hiding groups. The results for the three tasks that were specifically referring to groups show a high usage of the visual transformations by participants and several positive effects of the latter on accuracy, completion time, and mental effort spent. On the other hand, the two tasks that were not directly referring to groups show a lower usage of the visual transformations and the results regarding effects are rather mixed. Supplemental materials are available on DaRUS at https://doi.org/10.18419/darus-3706.

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Section: B Visually Emphasise or De-emphasise Elementsmentioning

confidence: 99%

Section: B Interactive Visual Transformation Conditionsmentioning

confidence: 99%

De-Emphasise, Aggregate, and Hide: A Study of Interactive Visual Transformations for Group Structures in Network Visualisations

Aichem,

Klein,

Kobourov

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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“…Comparison of visualization of a triangle in Euclidean plane, hyperbolic plane, and sphere [DCL*17]. Note how the hyperbolic triangle has smaller angles while the spherical triangle has larger.…”

Section: Terminology and Backgroundmentioning

confidence: 99%

“…Wang et al [WWZ*19] propose a structure‐aware fish‐eye lens that brings focus to focal area or areas, while maintaining some constraints such as drawing shape and preventing node overlap. A comparison with Du et al's spherical technique [DCL*17] and a generic hyperbolic technique is given, indicating that this structure aware lens may outperform non‐Euclidean techniques for path‐following tasks.…”

Section: Geometry Of Visualizationmentioning

confidence: 99%

“…Spherical [GSF97, WT06], hyperbolic [Mun97, LRP95], and toroidal [CDMB20] geometries have been considered. Some user‐studies have also shown benefits to using these geometries [DCL*17, CDBM21]. Applications of non‐Euclidean geometry in network visualization include the sphere [LC10, KMLM15,BKP*12], the hyperbolic plane [Mun00,Gla19], and the torus [MIB*14, CZIM18].…”

Section: Introductionmentioning

confidence: 99%

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State of the Art of Graph Visualization in non‐Euclidean Spaces

Miller,

Bhatia,

Kobourov

2024

Computer Graphics Forum

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Visualizing graphs and networks in non‐Euclidean space can have benefits such as natural focus+context in hyperbolic space and the familiarity of interactions in spherical space. Despite work on these topics going back to the mid 1990s, there is no survey, or a part of a survey for this area of research. In this paper we review and categorize over 60 relevant papers and analyze them by geometry, (e.g., spherical, hyperbolic, torus), by contribution (e.g., technique, evaluation, proof, application), and by graph class (e.g., tree, planar, complex).

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JUNGLE: An Interactive Visual Platform for Collaborative Creation and Consumption of Nonlinear Transmedia Stories

Kapadia

Muñiz

Sohn

et al. 2019

Lecture Notes in Computer Science

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JUNGLE is an interactive, visual platform for the collaborative manipulation and consumption of nonlinear transmedia stories. Intuitive visual interfaces encourage JUNGLE users to explore vast libraries of story worlds, expand existing stories, or conceive of entirely original story worlds. JUNGLE stories utilize multiple media forms including videos, images, and text, and accommodate branching narrative outcomes. We extensively evaluate Jungle using a focused small-scale study and free-form large-scale study with careful protection of study participant privacy. In the small-scale study, users found JUNGLE's features to be versatile, engaging, and intuitive for discovering new content. In the large-scale study, 354 subjects tested JUNGLE in a realistic 45-day scenario. We find that users collaborated on story worlds incorporating various forms of media in multiple (on average two) possible story paths. In particular, we find through initial observations that JUNGLE can evoke creativity: traditionally passive consumers gradually transition into active content creators. Supplementary videos showcasing the JUNGLE system and hypothetical example stories authored using JUNGLE independently hosted here and here.

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iSphere

Abstract: Figure 1. The node-link diagram shown in (a) the zoomable plane and the focus+context displays, (b) hyperbolic display and (c) iSphere display.

Cited by 27 publications

References 50 publications

De-Emphasise, Aggregate, and Hide: A Study of Interactive Visual Transformations for Group Structures in Network Visualisations

De-Emphasise, Aggregate, and Hide: A Study of Interactive Visual Transformations for Group Structures in Network Visualisations

State of the Art of Graph Visualization in non‐Euclidean Spaces

JUNGLE: An Interactive Visual Platform for Collaborative Creation and Consumption of Nonlinear Transmedia Stories

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