LifeFlow: Visualizing an overview of event sequences

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2011, Pages 1747-1756

  Wongsuphasawat, Krist ^a,b   Gómez, John Alexis Guerra ^a,b   Plaisant, Catherine ^b   Wang, Taowei David ^a,b   Ben, Shneiderman ^a,b   Taieb Maimon, Meirav ^c  

^a University of Maryland ^*  (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

Temporal categorical data; Timestamped event sequences

Indexed keywords

INTERACTIVE COMPUTER SYSTEMS; REAL TIME SYSTEMS;

BEST PRACTICES; CASE-STUDIES; CATEGORICAL DATA; EVENT SEQUENCE; HEALTHCARE DOMAINS; MEDICAL RESEARCHERS; SEQUENCE ANALYSIS; TEMPORAL CATEGORICAL DATA; TIMESTAMPED EVENT SEQUENCE; TRANSPORTATION DOMAIN;

QUALITY CONTROL;

EID: 79958158585     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1978942.1979196     Document Type: Conference Paper

References (39)

1. Aigner, W., and Miksch, S. CareVis: integrated visualization of computerized protocols and temporal patient data. Artificial intelligence in medicine 37, 3 (2006), 203-18. (Pubitemid 43903613)
2. Aigner, W., Miksch, S., Thurnher, B., and Biffl, S., PlanningLines: Novel Glyphs for Representing Temporal Uncertainties and Their Evaluation. Proc. Int'l Conf. Information Visualisation (2005), 457-463. (Pubitemid 44458551)
3. André, P., Wilson, M. L., Russell, A., Smith, D. A., Owens, A., and Schraefel, M., Continuum: designing timelines for hierarchies, relationships and scale. Proc. ACM UIST (2007), 101.
4. Bade, R., Schlechtweg, S., and Miksch, S., Connecting time-oriented data and information to a coherent interactive visualization. Proc. CHI (2004), 105-112.
5. Battista, G., Algorithms for drawing graphs: an annotated bibliography. Computational Geometry 4, 5 (1994), 235-282.
6. Bostock, M., and Heer, J., Protovis: a graphical toolkit for visualization. IEEE Trans. Vis. Comput. Graphics 15, 6 (2009), 1121-8.
7. Burch, M., Beck, F., and Diehl, S., Timeline trees: visualizing sequences of transactions in information hierarchies. Proc. AVI (2008), 75-82.
8. Carlis, J. V., and Konstan, J. A., Interactive visualization of serial periodic data. Proc. ACM UIST (1998), 29-38.
9. Chittaro, L., Visualization of patient data at different temporal granularities on mobile devices. Proc. AVI (2006), 484.
10. Cousins, S., and Kahn, M., The Visual Display of Temporal Information. Artificial intelligence in medicine 3, 6 (1991), 341-357.
11. Fails, J., Karlson, A., Shahamat, L., and Shneiderman, B., A Visual Interface for Multivariate Temporal Data: Finding Patterns of Events across Multiple Histories. Proc. IEEE VAST (2006), 167-174. (Pubitemid 351245909)
12. Fekete, J.-D., The InfoVis Toolkit. Proc. IEEE Symp. Information Visualization (2004), 167-174. (Pubitemid 40449142)
13. Guerra Gómez, J., Wongsuphasawat, K., Wang, T. D., Pack, M. and Plaisant, C., Analyzing Incident Management Event Sequences with Interactive Visualization. Transportation Research Board 90th Annual Meeting Compendium of Papers (2011).
14. Harrison, B., Owen, R., and Baecker, R., Timelines: an interactive system for the collection and visualization of temporal data. Graphics Interface (1994), 141.
15. Havre, S., Hetzler, E., Whitney, P., and Nowell, L., ThemeRiver: visualizing thematic changes in large document collections. IEEE Trans. Vis. Comput. Graphics 8, 1 (2002), 9-20. (Pubitemid 34573479)
16. Hewagamage, K., Hirakawa, M., and Ichikawa, T., Interactive visualization of spatiotemporal patterns using spirals on a geographical map. Proc. IEEE Symp. Visual Languages (1999), 296-303.
17. Johnson, B., and Shneiderman, B., Tree-maps: A space-filling approach to the visualization of hierarchical information structures. Proc. IEEE Vis (1991), 284-291.
18. Karam, G., Visualization using timelines. Proc. ACM SIGSOFT Int'l Symp. Software testing and analysis (1994), 125-137.
19. Klimov, D., Shahar, Y., and Taieb-Maimon, M., Intelligent visualization and exploration of time-oriented data of multiple patients. Artificial intelligence in medicine 49, 1 (2010), 11-31.
20. Kruskal, J., and Landwehr, J., Icicle Plots: Better Displays for Hierarchical Clustering. The American Statistician 37, 2 (1983), 162-168.
21. Lamping, J., The Hyperbolic Browser: A Focus+Context Technique for Visualizing Large Hierarchies. Journal of Visual Languages & Computing 7, 1 (1996), 33-55. (Pubitemid 126171007)
22. Letunic, I., and Bork, P., Interactive Tree Of Life (iTOL): an online tool for phylogenetic tree display and annotation. Bioinformatics 23, 1 (2007), 127-8. (Pubitemid 46017867)
23. Lin, J., Keogh, E., and Lonardi, S., Visualizing and discovering non-trivial patterns in large time series databases. Information Visualization 4, 2 (2005), 61-82.
24. Munzner, T., H3: laying out large directed graphs in 3D hyperbolic space. Proc. VIZ '97 (1997), 2-10.
25. Phan, D., Paepcke, A., and Winograd, T., Progressive multiples for communication-minded visualization. Proc. Graphics Interface (GI) (2007), 225.
26. Plaisant, C., Mushlin, R., Snyder, A., Li, J., Heller, D., and Shneiderman, B., LifeLines: using visualization to enhance navigation and analysis of patient records. Proc. AMIA Symp. (1998), American Medical Informatics Association, 76.
27. Reingold, E., and Tilford, J., Tidier Drawings of Trees. IEEE Trans. Softw. Eng., 2 (1981), 223-228.
28. Robertson, G. G., Card, S. K., and Mackinlay, J. D., Information visualization using 3D interactive animation. Comm. of the ACM 36, 4 (1993), 57-71.
29. Shneiderman, B., The eyes have it: a task by data type taxonomy for information visualizations. Proc. IEEE Symp. Visual Languages (1996), 336-343.
30. Shneiderman, B., Extreme visualization: squeezing a billion records into a million pixels. Proc. ACM SIGMOD Conf. Management of data (2008), 3-12.
31. Shneiderman, B., and Plaisant, C., Strategies for evaluating information visualization tools. Proc. AVI BELIV (2006), 1.
32. Stasko, J., and Zhang, E., Focus+context display and navigation techniques for enhancing radial, space-filling hierarchy visualizations. Proc. IEEE Symp. Information Visualization (2000), 57-65. (Pubitemid 32072841)
33. Vrotsou, K., Ellegard, K., and Cooper, M., Everyday Life Discoveries: Mining and Visualizing Activity Patterns in Social Science Diary Data. Proc. Int'l Conf. Information Visualization (2007), 130-138. (Pubitemid 47591728)
34. Vrotsou, K., Johansson, J., and Cooper, M., ActiviTree: interactive visual exploration of sequences in event-based data using graph similarity. IEEE Trans. Vis. Comput. Graphics 15, 6 (2009), 945-52.
35. Wang, T. D., Plaisant, C., Quinn, A. J., Stanchak, R., Murphy, S., and Shneiderman, B., Aligning temporal data by sentinel events: discovering patterns in electronic health records. Proc. CHI (2008), 457-466.
36. Wang, T. D., Plaisant, C., Shneiderman, B., Spring, N., Roseman, D., Marchand, G., Mukherjee, V., and Smith, M., Temporal Summaries: Supporting Temporal Categorical Searching, Aggregation and Comparison. IEEE Trans. Vis. Comput. Graphics 15, 6 (2009), 1049-1056.
37. Weber, M., Alexa, M., and Muller, W., Visualizing time-series on spirals. Proc. IEEE Symp. Information Visualization (2001), 7-13. (Pubitemid 33099020)
38. Wetherell, C., and Shannon, A., Tidy Drawings of Trees. IEEE Trans. Softw. Eng., 5 (1979), 514-520.
39. Wongsuphasawat, K., and Shneiderman, B., Finding comparable temporal categorical records: A similarity measure with an interactive visualization. Proc. IEEE VAST (2009), 27-34.