Visual Differentiation vs. Visual Grouping: Task Types and Visual Perception Performance
I tiakina i:
| I whakaputaina i: | International Journal of Business Intelligence Research vol. 16, no. 1 (2025), p. 1-25 |
|---|---|
| Kaituhi matua: | |
| Ētahi atu kaituhi: | |
| I whakaputaina: |
IGI Global
|
| Ngā marau: | |
| Urunga tuihono: | Citation/Abstract Full Text - PDF |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3222668867 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1947-3591 | ||
| 022 | |a 1947-3605 | ||
| 024 | 7 | |a 10.4018/IJBIR.380953 |2 doi | |
| 035 | |a 3222668867 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Chen, Fang |u University of Montana, USA | |
| 245 | 1 | |a Visual Differentiation vs. Visual Grouping: Task Types and Visual Perception Performance | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Differentiation | ||
| 653 | |a Visual tasks | ||
| 653 | |a Software | ||
| 653 | |a Accuracy | ||
| 653 | |a Scientific visualization | ||
| 653 | |a Data visualization | ||
| 653 | |a Graphs | ||
| 653 | |a Visual perception | ||
| 653 | |a Trends | ||
| 653 | |a Business intelligence | ||
| 653 | |a Decision making | ||
| 653 | |a Taxonomy | ||
| 653 | |a Design | ||
| 653 | |a Computer graphics | ||
| 653 | |a Literature reviews | ||
| 653 | |a Color | ||
| 653 | |a Visual effects | ||
| 653 | |a Pattern recognition | ||
| 653 | |a Data points | ||
| 700 | 1 | |a Zhang, Limin |u North Dakota State University, USA | |
| 773 | 0 | |t International Journal of Business Intelligence Research |g vol. 16, no. 1 (2025), p. 1-25 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3222668867/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3222668867/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |