VisDock: A Toolkit for Cross-Cutting Interactions in Visualization

Choi, Juyeong; Park, Deokgun; Wong, Yuet Ling; Fisher, Eli; Elmqvist, Niklas

doi:10.1109/tvcg.2015.2414454

Cited by 14 publications

(11 citation statements)

References 37 publications

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“…However, such APIs make easy tasks needlessly complex, burdening developers with learning low-level execution details. More recent systems, including Protovis, D3, and VisDock [7], offer a typology of common techniques that can be applied to a visualization. Such top-down approaches, however, limit customization and composition.…”

Section: Specifying Interactions In Visualization Systemsmentioning

confidence: 99%

Vega-Lite: A Grammar of Interactive Graphics

Satyanarayan

Moritz

Wongsuphasawat

et al. 2017

IEEE Trans. Visual. Comput. Graphics

674

497

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We present Vega-Lite, a high-level grammar that enables rapid specification of interactive data visualizations. Vega-Lite combines a traditional grammar of graphics, providing visual encoding rules and a composition algebra for layered and multi-view displays, with a novel grammar of interaction. Users specify interactive semantics by composing selections. In Vega-Lite, a selection is an abstraction that defines input event processing, points of interest, and a predicate function for inclusion testing. Selections parameterize visual encodings by serving as input data, defining scale extents, or by driving conditional logic. The Vega-Lite compiler automatically synthesizes requisite data flow and event handling logic, which users can override for further customization. In contrast to existing reactive specifications, Vega-Lite selections decompose an interaction design into concise, enumerable semantic units. We evaluate Vega-Lite through a range of examples, demonstrating succinct specification of both customized interaction methods and common techniques such as panning, zooming, and linked selection.

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Section: Specifying Interactions In Visualization Systemsmentioning

confidence: 99%

Vega-Lite: A Grammar of Interactive Graphics

Satyanarayan

Moritz

Wongsuphasawat

et al. 2017

IEEE Trans. Visual. Comput. Graphics

674

497

View full text Add to dashboard Cite

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“…A variety of textual specification languages and visualization toolkits have explored methods for specifying custom interactive behaviors. Protovis [5], D3 [6], and VisDock [8], for example, offer palettes of standard techniques but force users to write low-level imperative event handling for custom behaviors. Improvise [58] and Stencil [11] offer more fine-grained primitives, inspired by data flow semantics, that dynamically update and propagate values to downstream dependentsa conceptual model that allows for expressive interaction design.…”

Section: Textual Specification Of Interactive Visualizationsmentioning

confidence: 99%

“…Systems like Lyra [51], Data Illustrator [31], and Charticulator [44] provide graphical interfaces for creating visualizations with drag-and-drop and direct manipulation interactions rather than programming. Though interactivity is recognized as crucial to effective visualization [30,41], few graphical interfaces offer support for interaction design -the aforementioned systems only produce static output, and other alternatives including Tableau (ne Polaris [56]) and VisDock [8] either hard-code specific interaction techniques, or offer only a limited typology to choose from.…”

Section: Introductionmentioning

confidence: 99%

Lyra 2: Designing Interactive Visualizations by Demonstration

Zong

Barnwal

Neogy

et al. 2021

IEEE Trans. Visual. Comput. Graphics

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“…Other examples that support data interactions are Tableau, ggplot and d3 [7]. VizDock [13] enables users to add interaction to web-based visualization using a toolbar.…”

Section: Authoring Interactive Visualizationsmentioning

confidence: 99%

Flex-ER

Lobo

Hurter

Irani

2020

Proc. ACM Hum.-Comput. Interact.

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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.

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VisDock: A Toolkit for Cross-Cutting Interactions in Visualization

Cited by 14 publications

References 37 publications

Vega-Lite: A Grammar of Interactive Graphics

Vega-Lite: A Grammar of Interactive Graphics

Lyra 2: Designing Interactive Visualizations by Demonstration

Flex-ER

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