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Visual Differentiation vs. Visual Grouping: Task Types and Visual Perception Performance

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Publicado en:International Journal of Business Intelligence Research vol. 16, no. 1 (2025), p. 1-25
Autor principal: Chen, Fang
Otros Autores: Zhang, Limin
Publicado:
IGI Global
Materias:
Differentiation
Visual tasks
Software
Accuracy
Scientific visualization
Data visualization
Graphs
Visual perception
Trends
Business intelligence
Decision making
Taxonomy
Design
Computer graphics
Literature reviews
Color
Visual effects
Pattern recognition
Data points
Acceso en línea:Citation/Abstract
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Resumen:For business data visualization, there are two fundamental types of visual tasks: (a) differentiation tasks (identifying a data point or comparing individual data points) and (b) integration tasks (comparing sums of multiple data points and recognizing patterns). In this study, the authors propose a model of visual grouping that uses color to customize graphs for integration tasks. They conducted two experiments to investigate the effects of visual grouping on user performance across different task types. The results indicate that color grouping can enhance the outcomes of decision-making tasks, a specific type of integration task. More specifically, they found that when using graphs with visual grouping, participants spent significantly less time and achieved higher comprehension accuracy compared to those using graphs without visual grouping.
ISSN:1947-3591
1947-3605
DOI:10.4018/IJBIR.380953
Fuente:ABI/INFORM Global