Designing and implementing an interactive scatterplot visualization for a tablet computer

Sadana, Ramik; Stasko, John

doi:10.1145/2598153.2598163

Cited by 55 publications

(61 citation statements)

References 32 publications

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“…In subsequent work, Sadana et al designed and implemented multi-touch scatter plots for tablets [44]. Later they also proposed a design for tablet-based multiple coordinated visualizations [45].…”

Section: Tablets For Visualizationmentioning

confidence: 99%

Is Two Enough?

Plank

Jetter

Rädle

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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A sizable part of HCI research on cross-device interaction is driven by the vision of users conducting complex knowledge work seamlessly across multiple mobile devices. This is based on the Weiserian assumption that people will be inclined to distribute their work across multiple "pads" if such are available. We observed that this is not the reality today, even when devices were in abundance. We present a study with 24 participants in 12 dyads completing a collaborative visualization task with up to six tablets. They could choose between three different visualization types to answer questions about economic data. Tasks were designed to afford simultaneous use of tablets, either with linked or independent views. We found that users typically utilized only one tablet per user. A quantitative and qualitative analysis revealed a "legacy bias" that introduced barriers for using more tablets and reduced the overall benefit of multi-device visualization.

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Section: Tablets For Visualizationmentioning

confidence: 99%

Is Two Enough?

Plank

Jetter

Rädle

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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show abstract

“…An obvious challenge is to cope with limited resources (display space, computing power, memory). At the same time, first touch‐enabled visualizations [DFS*13, SS14] present the advantages of directly exploring and manipulating visualizations. Further, a new range of applications becomes possible with spatially‐aware mobile devices.…”

Section: Related Workmentioning

confidence: 99%

GraSp: Combining Spatially‐aware Mobile Devices and a Display Wall for Graph Visualization and Interaction

Kister

Klamka

Tominski

et al. 2017

Computer Graphics Forum

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Going beyond established desktop interfaces, researchers have begun re‐thinking visualization approaches to make use of alternative display environments and more natural interaction modalities. In this paper, we investigate how spatially‐aware mobile displays and a large display wall can be coupled to support graph visualization and interaction. For that purpose, we distribute typical visualization views of classic node‐link and matrix representations between displays. The focus of our work lies in novel interaction techniques that enable users to work with personal mobile devices in combination with the wall. We devised and implemented a comprehensive interaction repertoire that supports basic and advanced graph exploration and manipulation tasks, including selection, details‐on‐demand, focus transitions, interactive lenses, and data editing. A qualitative study has been conducted to identify strengths and weaknesses of our techniques. Feedback showed that combining mobile devices and a wall‐sized display is useful for diverse graph‐related tasks. We also gained valuable insights regarding the distribution of visualization views and interactive tools among the combined displays.

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“…Kinetica employs physics-based affordances with multi-touch interaction to augment multivariate data visualization [29]. Ramik and Stasko explore touch interactions for interactive scatterplot visualization [30]. Drucker et al propose a set of simple gestural interfaces for selecting, filtering, and sorting data, and compare it against a more WIMP-based one [11].…”

Section: Multi-touch Interactionmentioning

confidence: 99%

SketchInsight: Natural data exploration on interactive whiteboards leveraging pen and touch interaction

Lee

Smith

Riche

et al. 2015

2015 IEEE Pacific Visualization Symposium (PacificVis)

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In this work, we advance research efforts in combining the casual sketching approach of whiteboards with the machine's computing power. We present SketchInsight, a system that applies the familiar and collaborative features of a whiteboard interface to the accurate data exploration capabilities of interactive visualizations. SketchInsight enables data analysis with more fluid interaction, allowing people to visually explore their data by drawing simple charts and directly manipulating them. In addition, we report results from a qualitative study conducted to evaluate user experience in exploring data with SketchInsight, expanding our understanding on how people use a pen-and touch-enabled digital whiteboard for data exploration. We also discuss the challenges in building a working system that supports data analytic capabilities with pen and touch interaction and freeform annotation.

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Designing and implementing an interactive scatterplot visualization for a tablet computer

Cited by 55 publications

References 32 publications

Is Two Enough?

Is Two Enough?

GraSp: Combining Spatially‐aware Mobile Devices and a Display Wall for Graph Visualization and Interaction

SketchInsight: Natural data exploration on interactive whiteboards leveraging pen and touch interaction

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