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A Comparative Evaluation Study of Colormaps in Network Visualization
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Kyungwon Lee | - |
| dc.contributor.author | RAJA MUBASHAR KARIM | - |
| dc.date.accessioned | 2022-11-29T03:01:02Z | - |
| dc.date.available | 2022-11-29T03:01:02Z | - |
| dc.date.issued | 2020-02 | - |
| dc.identifier.other | 29495 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/20679 | - |
| dc.description | 학위논문(박사)--아주대학교 일반대학원 :라이프미디어협동과정,2020. 2 | - |
| dc.description.tableofcontents | Chapter 1 Introduction 1 CHAPTER2 Related works 7 2.1 Related works 7 2.1.1 Color models in visualization 7 2.1.1.1 Basic Color Models (Device Oriented Color Models) 7 2.1.1.2 Perception Based Color Models 10 2.1.2 Colormap Design and Selection Criteria 12 2.1.2.1 Colormap Generation Techniques 13 2.1.2.2 Experimentation-based Colormap Generation 16 2.1.2.3 Rule-Based Colormap 21 2.1.2.4 Data-Based Colormap 35 Colormap Optimization 36 Colormaps for Specific Data Types 39 Perceptual Optimization of Colormaps 40 2.1.3 Colormaps Evaluation Studies 42 CHAPTER 3 User Study 47 3.1 Pilot Study 47 3.2 Experimental Design 47 3.2.1 Node Attributes 48 3.2.2 Task 49 3.2.3 Datasets 50 3.2.4 Colormaps 53 3.2.5 Participants 57 3.3 Procedure 57 CHAPTER 4. Results 62 4.1 Task Completion Time 62 4.2 Correctness Rate 66 CHAPTER 5. Discussion 70 CHAPTER 6. Conclusion 75 References 76 Appendix 86 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | A Comparative Evaluation Study of Colormaps in Network Visualization | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 라이프미디어협동과정 | - |
| dc.date.awarded | 2020. 2 | - |
| dc.description.degree | Doctoral | - |
| dc.identifier.localId | 1133961 | - |
| dc.identifier.uci | I804:41038-000000029495 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000029495 | - |
| dc.description.alternativeAbstract | Color is a widely used visual channel for encoding data in visualization design. It is important to select the appropriate type of color mapping to better understand the data. While several studies have investigated the effects of colormaps in various types of information visualization, there have been no studies on their effects in network visualization. Thus, in this paper, we investigate the effects of several colormaps in network visualization using node-link diagrams. Specifically, we compare four different single- and multi-hue colormaps for node attributes, and evaluate their effectiveness in terms of task completion time and correctness rate. Our results show that participants complete their tasks significantly faster with blue (single-hue, sequential) as compared to viridis (multi-hue, sequential), RdYlBu (divergent, red-yellow-blue), and jet (rainbow) colormaps. Additionally, the overall correctness rate shows significant differences between colormaps, with viridis being the least error-prone among the colormaps studied. | - |
- Appears in Collections:
- Graduate School of Ajou University > Department of Life and Media Cooperation Course > 4. Theses(Ph.D)
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