Evaluating user cognition of network diagrams
Edges crossing and nodes overlapping have a significant effect on the users’ recognition and comprehension of network diagrams. In this study, we propose a visual evaluation method for users’ cognition of network diagrams. First, this method carries out a set of cognitive experiments to collect the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-12-01
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| Series: | Visual Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468502X21000620 |
| _version_ | 1830176203862966272 |
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| author | Xiaojiao Chen Xiaoteng Tang Zijing Luo Jiayi Zhang |
| author_facet | Xiaojiao Chen Xiaoteng Tang Zijing Luo Jiayi Zhang |
| author_sort | Xiaojiao Chen |
| collection | DOAJ |
| description | Edges crossing and nodes overlapping have a significant effect on the users’ recognition and comprehension of network diagrams. In this study, we propose a visual evaluation method for users’ cognition of network diagrams. First, this method carries out a set of cognitive experiments to collect the user’s cognitive performance that affects the variables, including accuracy and response time. The user’s pupil diameter is measured through an eye tracker to reflect their cognitive load. Second, the significance test points out the visual features as independent variables and then establishes an evaluation regression model. The experimental results show that the number of edges, edge length, node visual interference, and edge occlusion contribute to the evaluation models of response time, and edge occlusion and the number of node connections contribute to the accuracy model. Finally, these evaluation models demonstrate good predictability when assessing users’ cognition of network diagrams and provide practical recommendations for their use. |
| first_indexed | 2024-12-17T19:01:37Z |
| format | Article |
| id | doaj.art-d3e995955ae542aeaa909a805ceb4af5 |
| institution | Directory Open Access Journal |
| issn | 2468-502X |
| language | English |
| last_indexed | 2024-12-17T19:01:37Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Visual Informatics |
| spelling | doaj.art-d3e995955ae542aeaa909a805ceb4af52022-12-21T21:36:05ZengElsevierVisual Informatics2468-502X2021-12-01542633Evaluating user cognition of network diagramsXiaojiao Chen0Xiaoteng Tang1Zijing Luo2Jiayi Zhang3School of Art and Archaeology, Zhejiang University, Hangzhou, china; Corresponding author.School of Art and Archaeology, Zhejiang University, Hangzhou, china; College of Computer Science and Technology, Zhejiang University, Hang zhou, ChinaSchool of Mechanical Engineering, Southeast University, Nanjing, ChinaSchool of Art and Archaeology, Zhejiang University, Hangzhou, china; College of Computer Science and Technology, Zhejiang University, Hang zhou, ChinaEdges crossing and nodes overlapping have a significant effect on the users’ recognition and comprehension of network diagrams. In this study, we propose a visual evaluation method for users’ cognition of network diagrams. First, this method carries out a set of cognitive experiments to collect the user’s cognitive performance that affects the variables, including accuracy and response time. The user’s pupil diameter is measured through an eye tracker to reflect their cognitive load. Second, the significance test points out the visual features as independent variables and then establishes an evaluation regression model. The experimental results show that the number of edges, edge length, node visual interference, and edge occlusion contribute to the evaluation models of response time, and edge occlusion and the number of node connections contribute to the accuracy model. Finally, these evaluation models demonstrate good predictability when assessing users’ cognition of network diagrams and provide practical recommendations for their use.http://www.sciencedirect.com/science/article/pii/S2468502X21000620Network diagramShortest pathEye trackingCognitive evaluation |
| spellingShingle | Xiaojiao Chen Xiaoteng Tang Zijing Luo Jiayi Zhang Evaluating user cognition of network diagrams Visual Informatics Network diagram Shortest path Eye tracking Cognitive evaluation |
| title | Evaluating user cognition of network diagrams |
| title_full | Evaluating user cognition of network diagrams |
| title_fullStr | Evaluating user cognition of network diagrams |
| title_full_unstemmed | Evaluating user cognition of network diagrams |
| title_short | Evaluating user cognition of network diagrams |
| title_sort | evaluating user cognition of network diagrams |
| topic | Network diagram Shortest path Eye tracking Cognitive evaluation |
| url | http://www.sciencedirect.com/science/article/pii/S2468502X21000620 |
| work_keys_str_mv | AT xiaojiaochen evaluatingusercognitionofnetworkdiagrams AT xiaotengtang evaluatingusercognitionofnetworkdiagrams AT zijingluo evaluatingusercognitionofnetworkdiagrams AT jiayizhang evaluatingusercognitionofnetworkdiagrams |