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February 28, 20260 citationsOpen Access

Progressive Value Reading: The Use of Motion to Gradually Examine Data Involving Large Magnitudes

LYLeni YangAFAymeric FerronYJYvonne Jansen

Key Points

  • The central aim is to investigate how motion can enhance the interpretation of data with extreme values.
  • Compiled a corpus of 55 examples of visualizations requiring progressive value reading.
  • Derived ten design dimensions to categorize these examples and provide a structured vocabulary.
  • Provided an online corpus for public exploration and inspiration.
  • Introduced the concept of progressive value reading as a novel approach to data visualization.
  • Demonstrated how motion can create a visceral understanding of value differences.
  • Established a foundation for future empirical evaluations of these visual strategies.

Abstract

People often struggle to interpret data with extremely large or small values, or ranges spanning multiple orders of magnitude. While traditional approaches, such as log scales and multiscale visualizations, can help, we explore in this article a different approach used in some emerging designs: the use of motion to let viewers gradually experience magnitude -- for example, interactive graphics that require long scrolling or street paintings stretching hundreds of meters. This approach typically demands substantial time and sustained interaction, translating differences in magnitude into a visceral sense of duration and effort. Although largely underexplored, this design strategy offers new opportunities. We introduce the term progressive value reading to refer to the use of motion to progressively examine an information object that encodes a value, where the amount of motion reflects the value. We compiled a corpus of 55 real-life and hypothetical visualization examples that allow, encourage, or require progressive value reading. From this corpus, we derived a design space of ten design dimensions, providing a shared vocabulary, inspiration for novel techniques, and a foundation for empirical evaluation. An online corpus is also available for exploration.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69a286240a974eb0d3c00e36https://doi.org/10.48550/arxiv.2602.19853
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