Declarative interaction design for data visualization

Satyanarayan, Arvind; Wongsuphasawat, Kanit; Heer, Jeffrey

doi:10.1145/2642918.2647360

Cited by 96 publications

(92 citation statements)

References 36 publications

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“…Many visualization grammars and frameworks have been developed to facilitate the creation of information visualizations. Wilkinson's Grammar of Graphics [Wil99b], ggplot [Wic09], Vega [SWH14], and Vega‐Lite [SMWH17] focus on declarative representations, decoupling visualization specification from implementation details. On the other hand, Prefuse [HCL05] provides a set of fine‐grained building blocks to allow the creation of custom visualization designs.…”

Section: Related Workmentioning

confidence: 99%

“…D3 is one of the most commonly used libraries in web‐based visualizations. Vega is a very promising declarative visualization grammar with a performance‐optimized reactive dataflow architecture [SWH14, SMWH17]. We choose Vega's Canvas backend because it is measured to be more efficient than the SVG backend.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…There have been continuous research efforts on visualization libraries and frameworks to facilitate the creation of information visualizations (e.g., [Fek04, HCL05, BH09, BOH11, SWH14, SMWH17]). Thanks to the recent advancement in web technologies (e.g., HTML5, SVG, and D3), and modern browsers that support them, it has become very common to create visualizations for the web environment.…”

Section: Introductionmentioning

confidence: 99%

“…For example, in a test on rendering animated scatterplots, D3 can deal with up to about 2,000 points in real‐time (faster than 24 frames per second) on a modern personal computer [Rom]. Vega [SWH14] implements its own rendering backends (Canvas or SVG) and performs optimizations on the dataflow model. However, due to the necessity of manipulating or rendering individual marks, it is still hard to achieve high performance on a large number of marks.…”

Section: Introductionmentioning

confidence: 99%

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Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering

Ren

Lee

Höllerer

2017

Computer Graphics Forum

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Web‐based visualization libraries are in wide use, but performance bottlenecks occur when rendering, and especially animating, a large number of graphical marks. While GPU‐based rendering can drastically improve performance, that paradigm has a steep learning curve, usually requiring expertise in the computer graphics pipeline and shader programming. In addition, the recent growth of virtual and augmented reality poses a challenge for supporting multiple display environments beyond regular canvases, such as a Head Mounted Display (HMD) and Cave Automatic Virtual Environment (CAVE). In this paper, we introduce a new web‐based visualization library called Stardust, which provides a familiar API while leveraging GPU's processing power. Stardust also enables developers to create both 2D and 3D visualizations for diverse display environments using a uniform API. To demonstrate Stardust's expressiveness and portability, we present five example visualizations and a coding playground for four display environments. We also evaluate its performance by comparing it against the standard HTML5 Canvas, D3, and Vega.

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Section: Related Workmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering

Ren

Lee

Höllerer

2017

Computer Graphics Forum

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“…For example, several modern toolkits are exploring functional approaches to programming interfaces, where interface state is explicitly separated from the specification of its appearance [56,61]. Such tools might therefore expose these state objects for deep runtime modification.…”

Section: Supporting Input and Output Redirectionmentioning

confidence: 99%

Pixel-based reverse engineering of graphical interfaces

Dixon

2013

Proceedings of the Adjunct Publication of the 26th Annual ACM Symposium on User Interface Software and Technology - UIST '13 Ad

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Pixel-Based Reverse Engineering of Graphical Interfaces Morgan Emory DixonChair of the Supervisory Committee: James Fogarty Computer Science & EngineeringUser interface software is often large, complex, rigid, and difficult to implement. In fact, most of the development time and effort in a typical application is dedicated to the user interface. Not only do interfaces require the programmer to deal with complex input and output, asynchrony, and rapid feedback to the user that is context-dependent, but they also need to run on many different devices and serve a wide variety of people with complex needs. For example, applications may be required to run on the desktop, on mobile touchscreen devices, both for people with motor impairments and able-bodied users, and in multiple languages. As a result, most of today's interfaces require an immense amount of resources to address the increasingly complex ecosystem of devices and users.This dissertation focuses on unlocking existing user interfaces to overcome these challenges. Similar to how Wikipedia opened encyclopedia articles for anyone to edit, we envision a similar democratization of user interfaces, where anybody can modify the graphical interface of any application. Any single company or group of developers cannot single-handedly address people's wide variety of needs, but unlocking existing interfaces could diffuse the cost and effort across many people. As a first step towards realizing this vision, this dissertation explores how to modify existing graphical interfaces by reverse engineering their pixels. Working from the pixels enables developers and end-users to modify existing interfaces without compliance from the underlying application. For example, we use our pixel-based methods to implement many different modifications including accessibility enhancements, improved input on mobile devices, interface translation for improved localization, and end-user customization.Researchers have explored pixel-based reverse engineering for decades, but this dissertation presents the first real-time methods for interpreting an interface's pixels and using that reverse engineered structure to modify an application's apparent behavior.

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Giving shape to large digital libraries through exploratory data analysis

Organisciak

Schmidt

Downie

2021

Asso for Info Science & Tech

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The emergence of large multi-institutional digital libraries has opened the door to aggregate-level examinations of the published word. Such large-scale analysis offers a new way to pursue traditional problems in the humanities and social sciences, using digital methods to ask routine questions of large corpora. However, inquiry into multiple centuries of books is constrained by the burdens of scale, where statistical inference is technically complex and limited by hurdles to access and flexibility. This work examines the role that exploratory data analysis and visualization tools may play in understanding large bibliographic datasets. We present one such tool, HathiTrust+Bookworm, which allows multi-faceted exploration of the multi-million work HathiTrust Digital Library, and center it in the broader space of scholarly tools for exploratory data analysis.

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Declarative interaction design for data visualization

Cited by 96 publications

References 36 publications

Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering

Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering

Pixel-based reverse engineering of graphical interfaces

Giving shape to large digital libraries through exploratory data analysis

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