Dynamic data visualizations as events: effects of framing and change salience on segmenting dynamic maps

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Argitaratua izan da:Cognitive Research vol. 10, no. 1 (Dec 2025), p. 75
Egile nagusia: Pauly, Reena
Beste egile batzuk: Schwan, Stephan
Argitaratua:
Springer Nature B.V.
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Sarrera elektronikoa:Citation/Abstract
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024 7 |a 10.1186/s41235-025-00678-7  |2 doi 
035 |a 3267568088 
045 2 |b d20251201  |b d20251231 
100 1 |a Pauly, Reena  |u Leibniz-Institut für Wissensmedien, Tübingen, Germany (GRID:grid.418956.7) (ISNI:0000 0004 0493 3318) 
245 1 |a Dynamic data visualizations as events: effects of framing and change salience on segmenting dynamic maps 
260 |b Springer Nature B.V.  |c Dec 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Infectious diseases 
653 |a Data visualization 
653 |a Memory 
653 |a Segmentation 
653 |a Population changes 
653 |a Actors 
653 |a Influence 
653 |a Climate change 
653 |a Cognition & reasoning 
653 |a Perceptions 
653 |a Design 
653 |a Population decline 
653 |a Endangered species 
653 |a Semantics 
653 |a Geometric Concepts 
653 |a Prior Learning 
653 |a Motion 
653 |a Cognitive Processes 
653 |a Maps 
653 |a Individualized Instruction 
653 |a Observation 
653 |a Animation 
653 |a Visual Perception 
653 |a Meta Analysis 
653 |a Time 
653 |a Visual Stimuli 
653 |a Color 
653 |a Short Term Memory 
653 |a Intention 
653 |a Experiments 
653 |a Expectation 
653 |a Visualization 
653 |a Scripts 
700 1 |a Schwan, Stephan  |u Leibniz-Institut für Wissensmedien, Tübingen, Germany (GRID:grid.418956.7) (ISNI:0000 0004 0493 3318) 
773 0 |t Cognitive Research  |g vol. 10, no. 1 (Dec 2025), p. 75 
786 0 |d ProQuest  |t Psychology Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3267568088/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3267568088/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3267568088/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch