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Evaluating the Design Effectiveness of Radial Layout Glyph Visualizations for Multivariate Data: A Perception Study

Published: 11 December 2024 Publication History

Abstract

Radial glyphs are widely used for visualizing multivariate data, employing graphical primitives like dots, lines, and circles distributed in circular or elliptical patterns. The layout of these primitives significantly influences the visual pattern of the glyph, thereby impacting its data representation capabilities. Current layout strategies fall into two categories: linear and tiled layouts. We argue that a thoughtfully designed tiled layout glyph is more effective than a linear one. To substantiate this claim, we introduced CompactStripeGlyph, a tiled layout radial glyph intended to maintain a consistent visual pattern across all radial sectors. We then conducted a series of analysis tasks, including difference estimation, value search, and balance evaluation, to compare it with a novel linear layout radial glyph. The results indicated that CompactStripeGlyph performs as efficiently as, or even better than, the linear layout across all analysis tasks. Based on our experimental findings, we proposed task-oriented design guidelines.

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  1. Evaluating the Design Effectiveness of Radial Layout Glyph Visualizations for Multivariate Data: A Perception Study

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    VINCI '24: Proceedings of the 17th International Symposium on Visual Information Communication and Interaction
    December 2024
    286 pages
    ISBN:9798400709678
    DOI:10.1145/3678698
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 December 2024

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    Author Tags

    1. Glyph
    2. Multivariate Data
    3. Visualization Design
    4. Perception

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    • Research-article

    Funding Sources

    • Science and Technology Project of State Grid Shaanxi Electric Power Co. Ltd. (Research on Intelligent Evaluation and Planning Technology for Power System Communication Operation Modes Based on Complex Information Fusion)
    • National Natural Science Foundation of China (NSFC)

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    VINCI 2024

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