A user study on curved edges in graph visualization

Article

Xu, K., Rooney, C., Passmore, P., Ham, D. and Nguyen, P. 2012. A user study on curved edges in graph visualization. IEEE Transactions on Visualization and Computer Graphics. 18 (12), pp. 2449 -2456. https://doi.org/10.1109/TVCG.2012.189
TypeArticle
TitleA user study on curved edges in graph visualization
AuthorsXu, K., Rooney, C., Passmore, P., Ham, D. and Nguyen, P.
Abstract

Recently there has been increasing research interest in displaying graphs with curved edges to produce more readable visualizations. While there are several automatic techniques, little has been done to evaluate their effectiveness empirically. In this paper we present two experiments studying the impact of edge curvature on graph readability. The goal is to understand the advantages and disadvantages of using curved edges for common graph tasks compared to straight line segments, which are the conventional choice for showing edges in node-link diagrams. We included several edge variations: straight edges, edges with different curvature levels, and mixed straight and curved edges. During the experiments, participants were asked to complete network tasks including determination of connectivity, shortest path, node degree, and common neighbors. We also asked the participants to provide subjective ratings of the aesthetics of different edge types. The results show significant performance differences between the straight and curved edges and clear distinctions between variations of curved edges.

KeywordsGraph; curved edges; evaluation; visualization
Research GroupArtificial Intelligence group
PublisherIEEE Press
JournalIEEE Transactions on Visualization and Computer Graphics
ISSN1077-2626
Electronic1941-0506
Publication dates
PrintDec 2012
Publication process dates
Deposited02 Jul 2013
Output statusPublished
Additional information

Presented at InfoVis 2012 as well

Digital Object Identifier (DOI)https://doi.org/10.1109/TVCG.2012.189
Web of Science identifierWOS:000310143100049
LanguageEnglish
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Mitchell, I., Passmore, P. and Xu, K. 2010. Genetic sequences: tracing the mutations of a disease. IEEE VAST Symposium 2010 Challenge. Salt Lake City, Utah, USA 24 - 29 Oct 2010
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Passmore, P., Zheng, Y., Rooney, C., Al-Sheikh, T. and Xu, K. 2010. Hospitalization records: characterization of pandemic spread. IEEE VAST Symposium 2010 Challenge. Salt Lake City, Utah, USA 24 - 29 Oct 2010
Web service management system for bioinformatics research: a case study.
Xu, K., Yu, Q., Liu, Q., Zhang, J. and Bouguettaya, A. 2011. Web service management system for bioinformatics research: a case study. Service Oriented Computing and Applications. 5 (1), pp. 1-15. https://doi.org/10.1007/s11761-011-0076-9
Extension of TACOM to the complexity of tasks designed for abnormal situations in nuclear power plants
Ham, D., Park, J. and Jung, W. 2011. Extension of TACOM to the complexity of tasks designed for abnormal situations in nuclear power plants. Journal of Loss Prevention in the Process Industries. 24 (5), pp. 601-611. https://doi.org/10.1016/j.jlp.2011.04.006
A framework-based approach to identifying and organizing the complexity factors of human-system interaction
Ham, D., Park, J. and Jung, W. 2011. A framework-based approach to identifying and organizing the complexity factors of human-system interaction. IEEE Systems Journal. 5 (2), pp. 213-222. https://doi.org/10.1109/JSYST.2010.2102574
A knowledge discovery service system for provenance exploration
Liu, Q., Zhang, J., James, F., Xu, K. and Dinesh, N. 2011. A knowledge discovery service system for provenance exploration. International Conference on Data and Knowledge Engineering (ICDKE) 2011. Milan, Italy 06 - 08 Sep 2011
Integration of geographic information system and RADARSAT synthetic aperture radar data using a self-organizing map network as compensation for realtime ground data in automatic image classification
Shepherd, I., Passmore, P. and Kamal, M. 2010. Integration of geographic information system and RADARSAT synthetic aperture radar data using a self-organizing map network as compensation for realtime ground data in automatic image classification. Journal of Applied Remote Sensing. 4 (1), pp. 1-13. https://doi.org/10.1117/1.3457166
Statistical analysis for brain EIT images using SPM.
Zhang, Y., Passmore, P., Yerworth, R. and Bayford, R. 2005. Statistical analysis for brain EIT images using SPM. Institute of Electrical and Electronics Engineers. pp. 60-67 https://doi.org/10.1109/MEDIVIS.2005.17
Models of cell assembly decay
Passmore, P. and Huyck, C. 2008. Models of cell assembly decay. Institute of Electrical and Electronics Engineers. pp. 1-6 https://doi.org/10.1109/UKRICIS.2008.4798946
Visualization of multidimensional and multimodal tomographic medical imaging data, a case study
Zhang, Y., Passmore, P. and Bayford, R. 2009. Visualization of multidimensional and multimodal tomographic medical imaging data, a case study. Philosophical Transactions of the Royal Society of London. A: Mathematical and Physical Sciences. 367 (1900), pp. 3121-3148. https://doi.org/10.1098/rsta.2009.0084
The state of the art of visual analytics
Ham, D. 2010. The state of the art of visual analytics. Lee, J.H., Lee, H. and Kim, J.S. (ed.) 2009 EU-Korea Conference on Science and Technology. Reading, UK 05 - 07 Aug 2009 Springer. pp. 213-222 https://doi.org/10.1007/978-3-642-13624-5_20
Seeing more than the graph: evaluation of multivariategraph visualization methods.
Cunningham, A., Xu, K. and Thomas, B. 2010. Seeing more than the graph: evaluation of multivariategraph visualization methods. Santucci, G. (ed.) Association for Computing Machinery (ACM). pp. 429 https://doi.org/10.1145/1842993.1843106
Invariance of visual perception
Chikhman, V., Shelepin, Y., Foreman, N., Passmore, P., Vakhrameeva, O. and Pronin, S. 2008. Invariance of visual perception. Experimental Psychology. 1, pp. 7-33.
Viewpoint invariance in the recognition of 3-D depth-rotated figures
Chikhman, V., Shelepin, Y., Foreman, N. and Passmore, P. 2008. Viewpoint invariance in the recognition of 3-D depth-rotated figures. Perception. 37.
The estimation of quantitative ranges of invariance in visual perception
Chikhman, V., Shelepin, Y., Vakhrameeva, O., Pronin, S., Foreman, N. and Passmore, P. 2009. The estimation of quantitative ranges of invariance in visual perception. Perception. 38.
Future design.
Wong, B. and Ham, D. 2008. Future design. in: Golightly, D., Rose, T., Bonner, J. and Boyd Davis, S. (ed.) Create2008: proceedings Ergonomics Society.
Editorial: Selected papers from ECCE 2007, the 25th Anniversary Conference of the European Association of Cognitive Ergonomics
Ham, D., Wong, W. and Brinkman, W. 2009. Editorial: Selected papers from ECCE 2007, the 25th Anniversary Conference of the European Association of Cognitive Ergonomics. International Journal of Industrial Ergonomics. 39 (3), pp. 477-479. https://doi.org/10.1016/j.ergon.2009.02.001
A framework for evaluating the usability of mobile phones based on multi-level, hierarchical model of usability factors
Heo, J., Ham, D., Park, S., Song, C. and Yoon, W. 2009. A framework for evaluating the usability of mobile phones based on multi-level, hierarchical model of usability factors. Interacting with Computers. 21 (4), pp. 263-275. https://doi.org/10.1016/j.intcom.2009.05.006
Task based visualization of 5D brain EIT data
Zhang, Y., Passmore, P. and Bayford, R. 2009. Task based visualization of 5D brain EIT data. SAC09: The 2009 ACM Symposium on Applied Computing. Honolulu Hawaii, USA 08 - 12 Mar 2009 New York Association for Computing Machinery (ACM). pp. 831-835 https://doi.org/10.1145/1529282.1529459
The effects of presenting functionally abstracted information in fault diagnosis tasks
Ham, D. and Yoon, W. 2001. The effects of presenting functionally abstracted information in fault diagnosis tasks. Reliability Engineering and System Safety, Elsevier Science. 73 (2), pp. 103-119. https://doi.org/10.1016/S0951-8320(01)00053-9
Design of information content and layout for process control based on goal-means domain analysis
Ham, D. and Yoon, W. 2001. Design of information content and layout for process control based on goal-means domain analysis. Cognition, Technology and Work. 3 (4), pp. 205-223. https://doi.org/10.1007/s10111-001-8003-z
MaRMI-III: a methodology for component-based development
Ham, D., Cho, J., Kim, J. and Ha, S. 2004. MaRMI-III: a methodology for component-based development. Electronics and Telecommunications Research Institute (ETRI) Journal. 26 (2), pp. 167-180. https://doi.org/10.4218/etrij.04.0103.0041
Dynamics in proportionate selection.
Mitchell, I., Agrawal, A., Litovski, I. and Passmore, P. 2005. Dynamics in proportionate selection. in: International Conference on Adaptive and Natural Computnig Alogorithms, Coimbra, Portugal. Proceedings. Vienna. Springer. pp. 226-229
Experimental study on the effects of visualized functionally abstracted information on process control tasks
Ham, D., Yoon, W. and Han, B. 2008. Experimental study on the effects of visualized functionally abstracted information on process control tasks. Reliability Engineering and System Safety. 93 (2), pp. 254-270. https://doi.org/10.1016/j.ress.2006.12.003
Evaluation of human interaction with complex systems using a full-scope simulator: lessons learned and methodological issues
Ham, D., Park, J. and Jung, W. 2008. Evaluation of human interaction with complex systems using a full-scope simulator: lessons learned and methodological issues. International Journal of Human-Computer Interaction. 24 (4), pp. 361-384. https://doi.org/10.1080/10447310801971212
Colour vision model-based approach for segmentation of traffic signs
Gao, X., Hong, K., Passmore, P., Podladchikova, L. and Shaposhnikov, D. 2008. Colour vision model-based approach for segmentation of traffic signs. EURASIP Journal on Image and Video Processing. 2008. https://doi.org/10.1155/2008/386705
Framework and model of usability factors of mobile phones
Ham, D., Heo, J., Fossick, P., Wong, B., Park, S., Song, C. and Bradley, M.D. 2008. Framework and model of usability factors of mobile phones. in: Lumsden, J. (ed.) Handbook of research on user interface design and evaluation for mobile technology. Hershey, PA. Information Science Reference. pp. 877-896
The training effects of principle knowledge on fault diagnosis performance.
Ham, D., Han, B. and Yoon, W. 2007. The training effects of principle knowledge on fault diagnosis performance. Human Factors and Ergonomics in Manufacturing.. 17 (3), pp. 263-282. https://doi.org/10.1002/hfm.20074
Visualization and post-processing of 5D Brain Images
Zhang, Y., Passmore, P. and Bayford, R. 2005. Visualization and post-processing of 5D Brain Images. 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Shanghai, China 01 - 04 Sep 2005 IEEE. pp. 1083-1086 https://doi.org/10.1109/IEMBS.2005.1616607