Modeling and Measuring the Chart Communication Recall Process

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dc.contributor.authorArunkumar, Anjanaen_US
dc.contributor.authorPadilla, Laceen_US
dc.contributor.authorBryan, Chrisen_US
dc.contributor.editorAigner, Wolfgangen_US
dc.contributor.editorAndrienko, Nataliaen_US
dc.contributor.editorWang, Beien_US
dc.date.accessioned2025-05-26T06:36:02Z
dc.date.available2025-05-26T06:36:02Z
dc.date.issued2025
dc.description.abstractUnderstanding memory in the context of data visualizations is paramount for effective design. While immediate clarity in a visualization is crucial, retention of its information determines its long-term impact. While extensive research has underscored the elements enhancing visualization memorability, a limited body of work has delved into modeling the recall process. This study investigates the temporal dynamics of visualization recall, focusing on factors influencing recollection, shifts in recall veracity, and the role of participant demographics. Using data from an empirical study (n = 104), we propose a novel approach combining temporal clustering and handcrafted features to model recall over time. A long short-term memory (LSTM) model with attention mechanisms predicts recall patterns, revealing alignment with informativeness scores and participant characteristics. Our findings show that perceived informativeness dictates recall focus, with more informative visualizations eliciting narrative-driven insights and less informative ones prompting aesthetic-driven responses. Recall accuracy diminishes over time, particularly for unfamiliar visualizations, with age and education significantly shaping recall emphases. These insights advance our understanding of visualization recall, offering practical guidance for designing visualizations that enhance retention and comprehension. All data and materials are available at: https://osf.io/ghe2j/.en_US
dc.description.sectionheadersEvaluation and Guidance
dc.description.seriesinformationComputer Graphics Forum
dc.identifier.doi10.1111/cgf.70099
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70099
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70099
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Empirical studies in visualization; Visualization theory, concepts and paradigms; Visualization techniques
dc.subjectHuman centered computing → Empirical studies in visualization
dc.subjectVisualization theory
dc.subjectconcepts and paradigms
dc.subjectVisualization techniques
dc.titleModeling and Measuring the Chart Communication Recall Processen_US
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