Visual Cues: Practical Data Visualization

Keller, P.; Keller, Mary M.; Markel, Scott; Mallinckrodt, A. John; McKay, Susan

doi:10.1063/1.4823299

Cited by 78 publications

(78 citation statements)

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“…More open-ended, and therefore more applicable to the goal of defining what categories of coordinated geovisualization are appropriate, is a taxonomy of visualization goals, presented in (Keller and Keller 1992). These "goals" are categories of visualization strategies, identified as pairs of two categories, an "action" and "data".…”

Section: Typologies Of Geo-visual Analytic Operationsmentioning

confidence: 99%

GeoJabber: Enabling Geo-Collaborative Visual Analysis

Hardisty¹

2009

Cartography and Geographic Information Science

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The GeoJabber concept, protocol, and working prototype software introduced here enable same-time differentplace collaborative geovisualization. The key problem this work addresses is how to turn geovisual software states into persistent textual representations that can be shared between users. In the current implementation, GeoJabber leverages three key Open Source technologies: the GeoViz Toolkit, the Jabber protocol, and XStream. GeoJabber is the first project to support same-time different-place geovisualization tool state sharing. As part of this effort, this paper presents a typology of sharable geovisualization software states, rooted in the concepts of data, display, and category.

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Section: Typologies Of Geo-visual Analytic Operationsmentioning

confidence: 99%

GeoJabber: Enabling Geo-Collaborative Visual Analysis

Hardisty¹

2009

Cartography and Geographic Information Science

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“…Prescriptive taxonomies, on the other hand, prescribe design rules and guidelines for the elements of the problem space and can provide best-practice examples of existing systems and techniques. Currently, there exist a number of taxonomies dealing with visualization and visual representations, interface styles, interactive externalizations, and interface tasks [3,10,12,16,17]. Though some of the terms and ideas used in these taxonomies are relevant to the objectives of designing MCTs, none of them prescriptively address how these tools should be designed to fit and support the cognitive tasks of the users.…”

Section: Design Taxonomiesmentioning

confidence: 99%

Need for a Prescriptive Taxonomy of Interaction for Mathematical Cognitive Tools

Sedig

2004

Computational Science - ICCS 2004

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Abstract.Cognitive tools encode and display information in different representational forms. Through interaction with these representations, people can make sense of and reason about the information. Mathematical cognitive tools can allow people to interact with mathematical ideas in ways and levels not hitherto possible. These tools can support reasoning and enhance the experience and understanding of mathematics. However, currently, there exists no prescriptive taxonomy of interaction with mathematical representations to guide designers of mathematical cognitive tools. Given different representations, cognitive activities, and users, such a taxonomy can help designers know what interaction techniques to use, when, and to what end. This paper discusses the need for the development of a comprehensive prescriptive taxonomy of interaction with visual representations used in mathematical cognitive tools. Additionally, the paper outlines some inter-related lines of action that can be followed to develop such a taxonomy.

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“…The challenge is to understand human perceptual dimensions and map abstract data to display in order that dependent variables can be instantly perceivedprocessed pre-consciously and in parallel (Friedhoff, 2000). Such properties of the visual system have been described (such as sensitivity to texture, color, motion, depth) and graphical presentation models have been formulated to exploit these properties such as pre-attentive processing (Pickett et al, 1996) and visual cues and perception (Ware, 2003;Keller, 1993). Watzman (2002) has examined usability guidelines and visual design principles as they relate to text typography and color usage.…”

Section: Related Workmentioning

confidence: 99%

Design and display of enhancing information in desktop information-rich virtual environments: challenges and techniques

Polys

Bowman

2004

Virtual Reality

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Abstract:Information-Rich Virtual Environments (IRVEs) have been described as environments in which perceptual information is enhanced with abstract (or symbolic) information such as text, numbers, images, audio, video, or hyperlinked resources. Desktop VE applications present the same information design and layout challenges as immersive VEs, but in addition, they may also be integrated with external windows or frames commonly used in desktop interfaces. This paper enumerates design approaches for the display of enhancing information both internal and external to the virtual world's render volume.Using standard web-based software frameworks, we explore a number of implicit and explicit spatial layout methods for the display and linking of abstract information, especially text. Within the virtual environment view, we demonstrate both Heads-UpDisplays and encapsulated scenegraph behaviors we call Semantic Objects. For desktop displays, which support information display venues external to the scene, we demonstrate the linking and integration of the scene with web browsers and the Snap-Together visualization a system. Finally, we describe the application of these techniques in the PathSim Visualizer, an IRVE interface for the biomedical domain. These design techniques are relevant for instructional and informative interfaces for a wide variety of desktop VE applications.

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Visual Cues: Practical Data Visualization

Cited by 78 publications

References 0 publications

GeoJabber: Enabling Geo-Collaborative Visual Analysis

GeoJabber: Enabling Geo-Collaborative Visual Analysis

Need for a Prescriptive Taxonomy of Interaction for Mathematical Cognitive Tools

Design and display of enhancing information in desktop information-rich virtual environments: challenges and techniques

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