OA-graphs

Alallah, Fouad; Jin, Dean; Irani, Pourang

doi:10.1145/1936652.1936692

Cited by 15 publications

(3 citation statements)

References 23 publications

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“…We relate some of their findings more closely to ours in our Discussion Section. Alallah et al [2] tested how the perception of simple charts was impacted by varying viewing angles around a horizontal screen. They found that reading charts right-side up was fastest and least error-prone, and proposed a new chart design to alleviate orientation problems.…”

Section: Information Visualization and Large Displaysmentioning

confidence: 99%

Perception of Visual Variables on Tiled Wall-Sized Displays for Information Visualization Applications

Bezerianos

Isenberg

2012

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. Two viewers analyzing data visualizations from different viewpoints in front of a large high-resolution wall display (a). A participant conducting a trial during our first experiment (b).Abstract-We present the results of two user studies on the perception of visual variables on tiled high-resolution wall-sized displays. We contribute an understanding of, and indicators predicting how, large variations in viewing distances and viewing angles affect the accurate perception of angles, areas, and lengths. Our work, thus, helps visualization researchers with design considerations on how to create effective visualizations for these spaces. The first study showed that perception accuracy was impacted most when viewers were close to the wall but differently for each variable (Angle, Area, Length). Our second study examined the effect of perception when participants could move freely compared to when they had a static viewpoint. We found that a far but static viewpoint was as accurate but less time consuming than one that included free motion. Based on our findings, we recommend encouraging viewers to stand further back from the display when conducting perception estimation tasks. If tasks need to be conducted close to the wall display, important information should be placed directly in front of the viewer or above, and viewers should be provided with an estimation of the distortion effects predicted by our work-or encouraged to physically navigate the wall in specific ways to reduce judgement error.

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Section: Information Visualization and Large Displaysmentioning

confidence: 99%

Perception of Visual Variables on Tiled Wall-Sized Displays for Information Visualization Applications

Bezerianos

Isenberg

2012

IEEE Trans. Visual. Comput. Graphics

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“…Inacollaborativeenvironmentformanyreal-lifeartistic,cultural,design,engineering, mathematical,scientific,andtechnologicalapplications,itisnotuncommonforcollaboratorsto haveface-and-facemeetings.Partiallyduetotheemergingoftable-topdisplaysasaneffective platformforcollaboration,informationissharedonthetable-topsurfaceinthemeetings.As such,orientationorviewperspectivecannotbeneglected.Unlikeasingle-userenvironment (whereorientationmaynotbeanissue),objectorientationbecomescriticalinamulti-user environmentbecausenotallusersshareacommonperspectiveofthedisplayedinformation. Asinformationisviewedfromdifferentpositions,itmaybeperceiveddifferently.Astudy (Alallah et al, 2010) shows that user perception (e.g., legibility or readability) of a chart decreaseswhenthechartisnotorientedright-sideup.However,theuserperceptioncanbe improvedbyusingorientation-freevisualizers.Forinstance,FpMapViz(Leungetal.,2011) representsfrequentpatternsassquaresinahierarchicalfashionsothatextensionsofafrequent patternZareembeddedwithinsquaresrepresentingtheprefixesofZ.Thecolorofthesquare representing Z indicates the frequency range of Z, and the size of the square indicates the cardinalityofZ(seeFigure1(e)).…”

Section: Introductionmentioning

confidence: 99%

An HSV-Based Visual Analytic System for Data Science on Music and Beyond

Leung

Zhang

2019

International Journal of Art, Culture, Design, and Technology

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In the current era of big data, high volumes of a wide variety of valuable data—which may be of different veracities—can be easily generated or collected at a high speed in various real-life applications related to art, culture, design, engineering, mathematics, science, and technology. A data science solution helps manage, analyze, and mine these big data—such as musical data—for the discovery of interesting information and useful knowledge. As “a picture is worth a thousand words,” a visual representation provided by the data science solution helps visualize the big data and comprehend the mined information and discovered knowledge. This journal article presents a visual analytic system—which uses a hue-saturation-value (HSV) color model to represent big data—for data science on musical data and beyond (e.g., other types of big data).

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“…There also exist software-based approaches to help improve readability of documents or charts displayed on a tabletop [7].…”

Section: Introductionmentioning

confidence: 99%

Sound Zone Control in an Interactive Table System Environment

Yamaguchi

Sugihara

Hirakawa

2011

2011 IEEE International Symposium on Multimedia

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Tabletop interaction systems have been explored actively owing to their advantages of allowing participants to collaborate each other by, in many cases, multi-touch gestures over a single, shared display. However, less research has been done on the exploration of localized auditory feedback. The authors have been investigating an interactive table system that is capable of presenting visual and auditory feedback, as well as gestural input. Especially, as for the auditory feedback, the system can locate multiple sounds simultaneously by controlling the loudness for 16 speakers mounted in the table. In this paper, we describe the design and experimental analysis of sound zone control, aiming to enhance the presence of sounds and interaction among participants in the interactive table environment. User studies indicate that the sound zone can be broadened when a source signal is accompanied by different delayed signals of it, while time intervals for sound position exchange over multiple speakers are not of primary importance in perception.

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OA-graphs

Cited by 15 publications

References 23 publications

Perception of Visual Variables on Tiled Wall-Sized Displays for Information Visualization Applications

Perception of Visual Variables on Tiled Wall-Sized Displays for Information Visualization Applications

An HSV-Based Visual Analytic System for Data Science on Music and Beyond

Sound Zone Control in an Interactive Table System Environment

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