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Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification

Published: 24 October 2023 Publication History

Abstract

How do people internalize visualizations: as <italic>images</italic> or <italic>information</italic>? In this study, we investigate the nature of internalization for visualizations (i.e., how the mind encodes visualizations in memory) and how memory encoding affects its retrieval. This exploratory work examines the influence of various design elements on a user&#x0027;s perception of a chart. Specifically, which design elements lead to perceptions of visualization as an <italic>image</italic> (aims to provide visual references, evoke emotions, express creativity, and inspire philosophic thought) or as <italic>information</italic> (aims to present complex data, information, or ideas concisely and promote analytical thinking)? Understanding how design elements contribute to viewers perceiving a visualization more as an image or information will help designers decide which elements to include to achieve their communication goals. For this study, we annotated 500 visualizations and analyzed the responses of 250 online participants, who rated the visualizations on a bilinear scale as &#x2018;image&#x2019; or &#x2018;information.&#x2019; We then conducted an in-person study (<inline-formula><tex-math notation="LaTeX">$n = 101$</tex-math><alternatives><inline-graphic xlink:href="tvcg-arunkumar-3326919-eqinline-1-small.tif"/></alternatives></inline-formula>) using a free recall task to examine how the image/information ratings and design elements impacted memory. The results revealed several interesting findings: Image-rated visualizations were perceived as more aesthetically &#x2018;appealing,&#x2019; &#x2018;enjoyable,&#x2019; and &#x2018;pleasing.&#x2019; Information-rated visualizations were perceived as less &#x2018;difficult to understand&#x2019; and more aesthetically &#x2018;likable&#x2019; and &#x2018;nice,&#x2019; though participants expressed higher &#x2018;positive&#x2019; sentiment when viewing image-rated visualizations and felt less &#x2018;guided to a conclusion.&#x2019; The presence of axes and text annotations heavily influenced the likelihood of participants rating the visualization as &#x2018;information.&#x2019; We also found different patterns among participants that were older. Importantly, we show that visualizations internalized as &#x2018;images&#x2019; are less effective in conveying trends and messages, though they elicit a more positive emotional judgment, while &#x2018;informative&#x2019; visualizations exhibit annotation focused recall and elicit a more positive design judgment. We discuss the implications of this dissociation between aesthetic pleasure and perceived ease of use in visualization design.

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  • (2024)Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345634431:1(1169-1179)Online publication date: 9-Sep-2024
  • (2024)Visualisations with semantic iconsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103343191:COnline publication date: 1-Nov-2024

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  1. Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification
    Index terms have been assigned to the content through auto-classification.

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    cover image IEEE Transactions on Visualization and Computer Graphics
    IEEE Transactions on Visualization and Computer Graphics  Volume 30, Issue 1
    Jan. 2024
    1456 pages

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    IEEE Educational Activities Department

    United States

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    Published: 24 October 2023

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    • (2024)Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345634431:1(1169-1179)Online publication date: 9-Sep-2024
    • (2024)Visualisations with semantic iconsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103343191:COnline publication date: 1-Nov-2024

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