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Issue No.12 - Dec. (2012 vol.18)
pp: 2879-2888
Visual analytic tools aim to support the cognitively demanding task of sensemaking. Their success often depends on the ability to leverage capabilities of mathematical models, visualization, and human intuition through flexible, usable, and expressive interactions. Spatially clustering data is one effective metaphor for users to explore similarity and relationships between information, adjusting the weighting of dimensions or characteristics of the dataset to observe the change in the spatial layout. Semantic interaction is an approach to user interaction in such spatializations that couples these parametric modifications of the clustering model with users' analytic operations on the data (e.g., direct document movement in the spatialization, highlighting text, search, etc.). In this paper, we present results of a user study exploring the ability of semantic interaction in a visual analytic prototype, ForceSPIRE, to support sensemaking. We found that semantic interaction captures the analytical reasoning of the user through keyword weighting, and aids the user in co-creating a spatialization based on the user's reasoning and intuition.
inference mechanisms, data visualisation, keyword weighting, semantic interaction, sensemaking, analytical reasoning, model steering, visual analytic tools, cognitively demanding task, mathematical models, visualization, human intuition, expressive interactions, spatially clustering data, parametric modifications, clustering model, visual analytic prototype, ForceSPIRE, Semantics, User interfaces, Analytical models, Visual analytics, Mathematical model, visual analytics, User Interaction, visualization, sensemaking, analytic reasoning
A. Endert, P. Fiaux, C. North, "Semantic Interaction for Sensemaking: Inferring Analytical Reasoning for Model Steering", IEEE Transactions on Visualization & Computer Graphics, vol.18, no. 12, pp. 2879-2888, Dec. 2012, doi:10.1109/TVCG.2012.260
[1] Endert,A., Fiaux,P., and North,C., Semantic Interaction for Visual Text Analytics. In ACM CHI, 2012.
[2] Thomas,J. J., Cook,K., A. Illuminating the path. IEEE Computer Society, 2005.
[3] Pirolli,P. and Card,S., Sensemaking Processes of Intelligence Analysts and Possible Leverage Points as Identified Though Cognitive Task Analysis Proceedings of the 2005 International Conference on Intelligence Analysis, McLean, Virginia2005), 6.
[4] Endert,A., Fiaux,P., and North,C., Unifying the Sensemaking Loop with Semantic Interaction. In IEEE Workshop on Interactive Visual Text Analytics for Decision Making at VisWeek 2011, Providence, RI, 2011.
[5] Skupin,A., A Cartographic Approach to Visualizing Conference Abstracts. IEEE Computer Graphics and Applications, 222002), 50– 58.
[6] Pirolli,P. and Card,S., Information foraging in information access environments. In Proceedings of the SIGCHI conference on Human factors in computing systems, Denver, Colorado, United States, 1995.
[7] Kang,Y.-a. and Stasko,J., Characterizing the intelligence analysis process: Informing visual analytics design through a longitudinal field study. City, 2011.
[8] Wise,J. A., Thomas,J. J., Pennock,K., Lantrip,D., Pottier,M., Schur,A., and Crow,V., Visualizing the non-visual: spatial analysis and interaction with information for text documents. In Readings in information visualization: using vision to think, 1999.
[9] Bohn,S. J., Calapristi,A. J., Brown,S. D., and Nakamura,G. C., Analytic Steering: Inserting Context into the Informaion Dialog. In IEEE Workshop on Interactive Visual Text Analytics for Decision Making at VisWeek 2011, Providence, RI, 2011.
[10] Alsakran,J., Chen,Y., Zhao,Y., Yang,J., and Luo,D., STREAMIT: Dynamic visualization and interactive exploration of text streams. In IEEE Pacific Visualization Symposium, 2011.
[11] Yi,J. S., Melton,R., Stasko,J., and Jacko,J., A. Dust & magnet: multivariate information visualization using a magnet metaphor. Information Visualization, 4, 4 2005), 239– 256.
[12] Olsen,K. A., Korfhage,R. R., Sochats,K. M., Spring,M. B., and Williams,J. G., Visualization of a document collection: the vibe system. Inf. Process. Manage., 29,11993),69– 81.
[13] Shipman,F. and Marshall,C., Formality Considered Harmful: Experiences, Emerging Themes, and Directions on the Use of Formal Representations in Interactive Systems. Comput. Supported Coop. Work, 8,4 1999),333– 352.
[14] Shipman,F., Hsieh,H., Airhart,R., Maloor,P., Moore,J., M. and Shah, D. Emergent Structure in Analytic Workspaces: Design and Use of the Visual Knowledge Builder. City, 2001.
[15] Marshall,C. C.,Frank M. Shipman,I. and Coombs,J. H., VIKI: spatial hypertext supporting emergent structure. In Proceedings of the 1994 ACM European conference on Hypermedia technology, Edinburgh, Scotland, 1994.
[16] Andrews,C., Space to Think: Sensemaking and Large, High-Resolution Displays. Virginia Tech, Blacksburg, 2011.
[17] Andrews,C., Endert,A., and North,C., Space to Think: Large, High-Resolution Displays for Sensemaking. In CHI, 2010.
[18] i2 Analyst's Notebook.
[19] Stasko,J., Goerg,C., and Liu,Z., Jigsaw: supporting investigative analysis through interactive visualization. Information Visualization, 7,22008),118– 132.
[20] Wright,W., Schroh,D., Proulx,P., Skaburskis,A., and Cort,B., The Sandbox for analysis: concepts and methods. In CHI ‘06, New York, NY, 2006.
[21] Andrews,C. and North,C., Analyst's Workspace: An Embodied Sensemaking Environment For Large, High-Resolution Displays. In IEEE VAST, Seattle, WA, 2012.
[22] Pike,W.A., Stasko,J., Chang,R., and O’Connell,T., A. The science of interaction. Inf Yisualization, 8,4,263– 274.
[23] Green,T. M., Ribarsky,W., and Fisher,B., Building and applying a human cognition model for visual analytics. Information Visualization, 8,1 2009), 1– 13.
[24] Elmqvist,N., Moere,A. V., Jetter,H.-C., Cernea,D., Reiterer,H., and Jankun-Kelly,T., Fluid interaction for information visualization. Information Visualization, 10, 4 (October 1, 2011 2011), 327– 340.
[25] Dou,W., Jeong,D. H., Stukes,F., Ribarsky,W., Lipford,H. R., and Chang,R., Recovering Reasoning Processes from User Interactions. IEEE Computer Graphics and Applications, 292009), 52– 61.
[26] Fruchterman,T. M. J. and Reingold,E., M. Graph drawing by force-directed placement. Software: Practice and Experience, 21, 11 1991), 1129– 1164.
[27] Alias-i. 2008. LingPipe 4.0.1.City, 2008.
[28] Endert,A., Han,C., Maiti,D., House,L., Leman,S. C., and North,C., Observation-level Interaction with Statistical Models for Visual Analytics. In IEEE VAST, 2011.
[29] Andrews,C., Endert,A., Yost,B., and North,C., Information visualization on large, high-resolution displays: Issues, challenges, and opportunities. Information Visualization, 10,4 (October 1 2011), 341-355.
[30] Endert,A., Andrews,C., Bradel,L., Zeitz,J., and North,C., Designing Large High-Resolution Display Workspaces. City, 2012.
[31] Ball,R., North,C., and A. Bowman,D. Move, to improve: promoting physical navigation to increase user performance with large displays. In CHI 2007, San Jose, California, USA, 2007.
[32] Shupp,L., Andrews,C., Dickey-Kurdziolek,M., Yost,B., and North,C., Shaping the Display of the Future: The Effects of Display Size and Curvature on User Performance and Insights. Human-Computer Interaction, 24, 1 2009), 230-272.
[33] Endert,A., Fiaux,P., Chung,H., Stewart,M., Andrews,C., and North,C., ChairMouse: leveraging natural chair rotation for cursor navigation on large, high-resolution displays. In Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems, Vancouver, BC, Canada, 2011.
[34] Endert,A., Fox,S., Maiti,D., Leman,S. C., and North,C., The Semantics of Clustering: Analysis of User-Generated Spatializations of Text Documents. In AVI, 2012.
[35] Pak Chung,W., Hetzler,B., Posse,C., Whiting,M., Havre,S., Cramer,N., Anuj,S., Singhal,M., Turner,A., and Thomas,J., IN-SPIRE Info Vis 2004 Contest Entry, 2004.
[36] Heuer,R., Psychology of Intelligence Analysis, 1999.
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