The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance

Davis, Russell; Pu, Xiaoying; Ding, Yiren; Hall, Brian D.; Bonilla, Karen; Feng, Mingyue; Kay, Matthew; Harrison, Lane

doi:10.1109/tvcg.2022.3226463

Cited by 5 publications

(2 citation statements)

References 62 publications

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“…Psychology and vision research have shown that people exhibit substantial variability on tasks such as pattern identification, judgments, or adjustments [28,29,51]. Given the significance of perceptual variability in information visualization [16,86], recent research explores when, where, and how perceptual variability influences visualization use (see Liu et al [41] for a survey).…”

Section: Perceptual Variabilitymentioning

confidence: 99%

: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering

Jeon,

Quadri,

Lee

et al. 2024

IEEE Trans. Visual. Comput. Graphics

2
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2
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Section: Perceptual Variabilitymentioning
confidence: 99%

: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering
Jeon,
Quadri,
Lee
et al. 2024
IEEE Trans. Visual. Comput. Graphics
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0
2
0
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“…However, several crucial questions regarding the visual encoding process and the selection of visual encoding channels still remain unexplored. Recent research by Davis et al [DPD*22] challenges the universal applicability of existing rankings of visual encoding channels, as they observed significant variations in individuals' performance on visualization tasks. Older adults are a population characterized by their heterogeneity, making it essential to understand how the choices of visual encoding and their effectiveness correlate with different characteristics and requirements within this demographic.…”

Section: State Of the Practice In Gerontovismentioning
confidence: 99%

GerontoVis: Data Visualization at the Confluence of Aging
While,
Crouser,
Sarvghad
2024
Computer Graphics Forum
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Despite the explosive growth of the aging population worldwide, older adults have been largely overlooked by visualization research. This paper is a critical reflection on the underrepresentation of older adults in visualization research. We discuss why investigating visualization at the intersection of aging matters, why older adults may have been omitted from sample populations in visualization research, how aging may affect visualization use, and how this differs from traditional accessibility research. To encourage further discussion and novel scholarship in this area, we introduce GerontoVis, a term which encapsulates research and practice of data visualization design that primarily focuses on older adults. By introducing this new subfield of visualization research, we hope to shine a spotlight on this growing user population and stimulate innovation toward the development of aging‐aware visualization tools. We offer a birds‐eye view of the GerontoVis landscape, explore some of its unique challenges, and identify promising areas for future research.

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Let’s Get Vysical: Perceptual Accuracy in Visual & Tactile Encodings
Xu,
Williams,
Wall
2023
2023 IEEE Visualization and Visual Analytics (VIS)
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The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance

Cited by 5 publications

References 62 publications

: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering

: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering

GerontoVis: Data Visualization at the Confluence of Aging

Let’s Get Vysical: Perceptual Accuracy in Visual & Tactile Encodings

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