Using visual design expertise to characterize the effectiveness of 2D scientific visualization methods

Daniel Acevedo; David Laidlaw; Fritz Drury

doi:10.1109/VIS.2005.109

Using visual design expertise to characterize the effectiveness of 2D scientific visualization methods

Daniel Acevedo^*, David Laidlaw, Fritz Drury

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

We present the results from a pilot study that evaluates the effectiveness of 2D visualization methods in terms of a set of design factors, which are subjectively rated by expert visual designers. In collaboration with educators from the Illustration Department at the Rhode Island School of Design (RISD), we have defined a space of visualization methods using basic visual elements including icon hue, icon size, icon density, and background saturation (see Figure 1). In this initial pilot study we presented our subjects with single variable visualization methods. The results characterize the effectiveness of individual visual elements according to our design factors. We are beginning to test these results by creating two-variable visualizations and studying how the different visual elements interact.

Original language	English (US)
Title of host publication	VIS 05
Subtitle of host publication	IEEE Visualization 2005, Proceedings
Pages	101
Number of pages	1
DOIs	https://doi.org/10.1109/VIS.2005.109
State	Published - 2005
Externally published	Yes
Event	VIS 05: IEEE Visualization 2005, Proceedings - Minneapolis, MN, United States Duration: Oct 23 2005 → Oct 28 2005

Publication series

Name	Proceedings of the IEEE Visualization Conference

Other

Other	VIS 05: IEEE Visualization 2005, Proceedings
Country/Territory	United States
City	Minneapolis, MN
Period	10/23/05 → 10/28/05

ASJC Scopus subject areas

Software
General Engineering
General Computer Science
Computer Graphics and Computer-Aided Design

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10.1109/VIS.2005.109

Cite this

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title = "Using visual design expertise to characterize the effectiveness of 2D scientific visualization methods",

abstract = "We present the results from a pilot study that evaluates the effectiveness of 2D visualization methods in terms of a set of design factors, which are subjectively rated by expert visual designers. In collaboration with educators from the Illustration Department at the Rhode Island School of Design (RISD), we have defined a space of visualization methods using basic visual elements including icon hue, icon size, icon density, and background saturation (see Figure 1). In this initial pilot study we presented our subjects with single variable visualization methods. The results characterize the effectiveness of individual visual elements according to our design factors. We are beginning to test these results by creating two-variable visualizations and studying how the different visual elements interact.",

author = "Daniel Acevedo and David Laidlaw and Fritz Drury",

year = "2005",

doi = "10.1109/VIS.2005.109",

language = "English (US)",

isbn = "0780394623",

series = "Proceedings of the IEEE Visualization Conference",

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Acevedo, D, Laidlaw, D & Drury, F 2005, Using visual design expertise to characterize the effectiveness of 2D scientific visualization methods. in VIS 05: IEEE Visualization 2005, Proceedings., 1566083, Proceedings of the IEEE Visualization Conference, pp. 101, VIS 05: IEEE Visualization 2005, Proceedings, Minneapolis, MN, United States, 10/23/05. https://doi.org/10.1109/VIS.2005.109

Using visual design expertise to characterize the effectiveness of 2D scientific visualization methods. / Acevedo, Daniel; Laidlaw, David; Drury, Fritz.
VIS 05: IEEE Visualization 2005, Proceedings. 2005. p. 101 1566083 (Proceedings of the IEEE Visualization Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Laidlaw, David

AU - Drury, Fritz

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N2 - We present the results from a pilot study that evaluates the effectiveness of 2D visualization methods in terms of a set of design factors, which are subjectively rated by expert visual designers. In collaboration with educators from the Illustration Department at the Rhode Island School of Design (RISD), we have defined a space of visualization methods using basic visual elements including icon hue, icon size, icon density, and background saturation (see Figure 1). In this initial pilot study we presented our subjects with single variable visualization methods. The results characterize the effectiveness of individual visual elements according to our design factors. We are beginning to test these results by creating two-variable visualizations and studying how the different visual elements interact.

AB - We present the results from a pilot study that evaluates the effectiveness of 2D visualization methods in terms of a set of design factors, which are subjectively rated by expert visual designers. In collaboration with educators from the Illustration Department at the Rhode Island School of Design (RISD), we have defined a space of visualization methods using basic visual elements including icon hue, icon size, icon density, and background saturation (see Figure 1). In this initial pilot study we presented our subjects with single variable visualization methods. The results characterize the effectiveness of individual visual elements according to our design factors. We are beginning to test these results by creating two-variable visualizations and studying how the different visual elements interact.

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Using visual design expertise to characterize the effectiveness of 2D scientific visualization methods

Abstract

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