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LifeFlow: visualizing an overview of event sequences

Published: 07 May 2011 Publication History

Abstract

Event sequence analysis is an important task in many domains: medical researchers may study the patterns of transfers within the hospital for quality control; transportation experts may study accident response logs to identify best practices. In many cases they deal with thousands of records. While previous research has focused on searching and browsing, overview tasks are often overlooked. We introduce a novel interactive visual overview of event sequences called \emph{LifeFlow}. LifeFlow is scalable, can summarize all possible sequences, and represents the temporal spacing of the events within sequences. Two case studies with healthcare and transportation domain experts are presented to illustrate the usefulness of LifeFlow. A user study with ten participants confirmed that after 15 minutes of training novice users were able to rapidly answer questions about the prevalence and temporal characteristics of sequences, find anomalies, and gain significant insight from the data.

References

[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.
[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.
[3]
Andre, 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.
[12]
Fekete, J.-D., The InfoVis Toolkit. Proc. IEEE Symp. Information Visualization (2004), 167--174.
[13]
Guerra Gomez, 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.
[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.
[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.
[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.
[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.
[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.
[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.

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      cover image ACM Conferences
      CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      May 2011
      3530 pages
      ISBN:9781450302289
      DOI:10.1145/1978942
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 07 May 2011

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      Author Tags

      1. information visualization
      2. overview visualization
      3. temporal categorical data
      4. timestamped event sequences

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      • (2024)A Multi-Level Task Framework for Event Sequence AnalysisIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345651031:1(842-852)Online publication date: 18-Sep-2024
      • (2024)A Comparative Study on Fixed-Order Event Sequence Visualizations: Gantt, Extended Gantt, and Stringline ChartsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.335891930:12(7687-7701)Online publication date: Dec-2024
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