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Dynamic Data Visualizations as Events: Effects of Framing and Change Salience on Segmenting Dynamic Maps

Title: Dynamic Data Visualizations as Events: Effects of Framing and Change Salience on Segmenting Dynamic Maps
Language: English
Authors: Reena Pauly (ORCID 0000-0003-1409-9366); Stephan Schwan
Source: Cognitive Research: Principles and Implications. 2025 10.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 29
Publication Date: 2025
Document Type: Journal Articles; Reports - Research
Descriptors: Memory; Intervals; Serial Ordering; Animation; Visual Aids; Maps; Cognitive Processes; Cues; Context Effect; Attention; Spatial Ability; Pattern Recognition; Perception
DOI: 10.1186/s41235-025-00678-7
ISSN: 2365-7464
Abstract: Event segmentation theory, which explores how individuals divide continuous experiences into discrete events, has been extensively studied in naturalistic stimuli. We investigate whether key findings generalize to animated data visualizations, specifically dynamic thematic maps. Experiment 1 showed that inter-individual segmentation agreement in dynamic maps occurs above chance levels and is influenced by the direction of the depicted trend. Experiments 2 and 3 build on these findings by systematically varying the depicted trend in maps showing population changes of fictional insect species. In addition, we examined how conceptual (framing of the species as endangered or invasive) and perceptual factors (salience of directional change) interact to shape segmentation agreement. In Experiment 2, salience was manipulated using different color scales: Saturation-based scales as the high-salience condition and hue-based scales as the low-salience condition. We found a significant three-way interaction between trend, framing, and salience: Agreement was higher when the framing matched the trend direction, but only in the high-salience condition. In Experiment 3, salience was more subtly manipulated by showing the trend either spatially clustered (high salience) or spatially distributed (low salience) across the maps. The results partly replicate the findings of Experiment 2, showing a significant interaction between trend, framing, and spatial pattern on segmentation agreement, with higher agreement for negative trends when population decline was salient and framed as endangered. These findings suggest that symbolic visualizations are subject to event segmentation processes, provided both bottom-up perceptual features and top-down conceptual expectations support the formation and updating of internal event models.
Abstractor: As Provided
Notes: https://osf.io/v9n3m/overview
Entry Date: 2026
Accession Number: EJ1492444
Database: ERIC