A Practical Guide to Large Tiled Displays

Navrátil, Paul; Westing, Brandt; Johnson, Gregory P.; Athalye, Ashwini; Carreno, Jose; Rojas, Freddy

doi:10.1007/978-3-642-10520-3_93

Cited by 13 publications

(8 citation statements)

References 20 publications

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“…However, projection-based solutions have their own set of problems, such as specific lighting requirements and lower image quality than monitor-based display systems. Furthermore, projection-based units have higher purchase costs, maintenance costs for bulbs, larger space needs and more complex projector alignment requirements [72]. "The hyperwall" designed by NASA was another significant approach in terms of extending large display usage in scientific visualization tasks [90].…”

Section: ) a Dell Optiplexmentioning

confidence: 99%

“…One disadvantage is that bulbs for the projectors need to be replaced periodically, which increases maintenance effort and cost. Also, projector-based systems typically cannot match actual displays in terms of color, brightness and contrast levels due to the nature of the technology [72].…”

Section: Advantages Over Past Systemsmentioning

confidence: 99%

“…Still, some systems reached quite impressive quantities of pixels. Stallion, for example, at University of Texas at Austin consists of 307 million pixels [72]. However, little was reported about use cases, how it was useful in specific tasks and what the advantages of the system were.…”

Section: Advantages Over Past Systemsmentioning

confidence: 99%

“…Many researchers suggested that we need higher-resolution displays to better view scientific images that are becoming available with the higher-resolution sensors [72,117,118,119,121]. However, this trend is not limited to images alone.…”

Section: Resolution and Pixel Densitymentioning

confidence: 99%

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Visual Analytics on Large Displays: Exploring User Spatialization and How Size and Resolution Affect Task Performance

Cetin¹,

Stuerzlinger

Dill³

2018

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)

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Large, high-resolution displays (LHRDs) enable increased productivity over conventional monitors. Previous work has identified the benefits of LHRDs for Visual Analytics tasks, where the user is analyzing complex data sets. However, LHRDs are fundamentally different environments, presenting both usability challenges and opportunities, and need to be better understood. There is thus a need for additional studies to analyze the impact of LHRD size and display resolution on content spatialization strategies and Visual Analytics task performance. I present the results of two studies of the effects of physical display size and resolution on analytical task successes and also analyze how participants spatially cluster visual content in different experimental conditions.

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Section: ) a Dell Optiplexmentioning

confidence: 99%

Section: Advantages Over Past Systemsmentioning

confidence: 99%

Section: Advantages Over Past Systemsmentioning

confidence: 99%

Section: Resolution and Pixel Densitymentioning

confidence: 99%

See 2 more Smart Citations

Visual Analytics on Large Displays: Exploring User Spatialization and How Size and Resolution Affect Task Performance

Cetin¹,

Stuerzlinger

Dill³

2018

2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)

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“…WHirDs are typically constructed using a cluster of PCs and a matrix of LCD or projected displays, with each PC driving several displays (for technical details, see [16,17]). The choice of display involves a trade-off between pixel density, bezel width and cost.…”

Section: Wall-sized High-resolution Displays (Whirds)mentioning

confidence: 99%

Leveraging wall-sized high-resolution displays for comparative genomics analyses of copy number variation

Ruddle

Fateen

Treanor

et al. 2013

2013 IEEE Symposium on Biological Data Visualization (BioVis)

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The scale of comparative genomics data frequently overwhelms current data visualization methods on conventional (desktop) displays. This paper describes two types of solution that take advantage of wall-sized high-resolution displays (WHirDs), which have orders of magnitude more display real estate (i.e., pixels) than desktop displays. The first allows users to view detailed graphics of copy number variation (CNV) that were output by existing software. A WHirD's resolution allowed a 10× increase in the granularity of bioinformatics output that was feasible for users to visually analyze, and this revealed a pattern that had previously been smoothed out from the underlying data. The second involved interactive visualization software that was innovative because it uses a music score metaphor to lay out CNV data, overcomes a perceptual distortion caused by amplification/deletion thresholds, uses filtering to reduce graphical data overload, and is the first comparative genomics visualization software that is designed to leverage a WHirD's real estate. In a field evaluation, a clinical user discovered a fundamental error in the way their data had been processed, and established confidence in the software by using it to 'find' known genetic patterns in hepatitis C-driven hepatocellular cancer.

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