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Reading Group

We are an informal reading group that meets once a week to discuss papers related to Visual Analytics, Information Visualization, and HCI in general.

Time: Thursdays at 3:30PM

Location: TBD

Discussed Papers

Winter 2014: Collaborative Synthesis

• April 3: Heer, J., and Agrawala, M. Design considerations for collaborative visual analytics. In Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on (Oct 2007), pp. 171–178. dx.doi.org/10.1109/VAST.2007.4389011
• March 27: Kandel, S., Paepcke, A., Hellerstein, J. M., & Heer, J. (2012). Enterprise Data Analysis and Visualization: An Interview Study. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2917–2926. doi:10.1109/TVCG.2012.219 Slides
• March 20: Kang, Y. A., & Stasko, J. (2011, October). Characterizing the intelligence analysis process: Informing visual analytics design through a longitudinal field study. In Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on (pp. 21-30). IEEE.
• March 13: Wheaton, M., Moore K., Williams, S., Marsh, J., Flanagan, K., Vallone, D. (Ed.), Walker, E. (Ed.). (2012). Wikis and Intelligence Analysis. Retrieved from Amazon.com
• March 6: Kanselaar, G., Erkens, G., Andriessen, J., Prangsma, M., Veerman, A., & Jaspers, J. (2003). Designing argumentation tools for collaborative learning. In Visualizing argumentation (pp. 51-73). Springer London.
• February 20: Introne, J. E., & Drescher, M. (2013). Analyzing the Flow of Knowledge in Computer Mediated Teams. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work (pp. 341–356). New York, NY, USA: ACM. doi:10.1145/2441776.2441816
• February 6: Shum, S. B. (2003). The roots of computer supported argument visualization. In Visualizing argumentation (pp. 3-24). Springer London.
• January 30: Chuah, M. C., & Roth, S. F. (1996, October). On the semantics of interactive visualizations. In Information Visualization'96, Proceedings IEEE Symposium on (pp. 29-36). IEEE.

Fall 2013: Branching and Subjuncts

• November 28: Fujima, J., Lunzer, A., Hornbæk, K., & Tanaka, Y. (2004). Clip, connect, clone: combining application elements to build custom interfaces for information access. Proceedings of the 17th ACM Symposium on User Interface Software and Technology (UIST), 6(2), 175 – 184.
• November 21: Goodwin, C. (1994). Professional Vision. American anthropologist, 96(3), 606-633.
• November 14: Callahan, S. P., Freire, J., Santos, E., Scheidegger, C. E., Silva, C. T., & Vo, H. T. (2006). Managing the evolution of dataflows with VisTrails. In Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on (pp. 71-71). IEEE.
• November 7: Terry, M., and Mynatt, E. D. Recognizing creative needs in user interface design. In Proceedings of the 4th conference on Creativity & cognition (New York, NY, USA, 2002), C&C ’02, ACM, pp. 38–44.
• October 31: Chen, H.-T., Wei, L.-Y., and Chang, C.-F. Nonlinear revision control for images. In ACM SIGGRAPH 2011 papers (New York, NY, USA, 2011), SIGGRAPH ’11, ACM, pp. 105:1–105:10.
• October 24: Kim, D., and Shipman, F. M. Interpretation and visualization of user history in a spatial hypertext system. In Proceedings of the 21st ACM conference on Hypertext and hypermedia (New York, NY, USA, 2010), HT ’10, ACM, pp. 255–264.
• October 10: Shrinivasan, Y. B., & van Wijk, J. J. (2008, April). Supporting the analytical reasoning process in information visualization. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 1237-1246). ACM.

Summer 2012. Social Network Analysis.

From this term we will be giving flavors to the reading group by having term-themes. We of course invite every kind of discussion and we can certainly accomodate more readings inspired by the common topic being covered. That said, during this summer the following sub-topics would shape the discussion:

• Background: What is social network analysis? What are the dominant theories? What are the characteristics of the raw data? How do researchers make sense of, and draw conclusions from, the data they collect on social networks? What types of techniques are available? Compare two analysis techniques.

• Visualization: Why are VA tools so useful for social network analysis? What are the standard visual representation techniques (layout, encoding, etc.)? What are the alternatives to node-link diagrams? Compare two new approaches/tools.

• Interaction: What are the standard interaction techniques for static social network analysis/exploration? How have designers dealt with temporal dynamics? Compare two new approaches/tools.

• Evaluation: How are social network analysis visual analytics tools evaluated? What does 'success' look like in this domain? Compare two evaluation papers.

Summer 2011

• August 22nd: Stolte, C., Tang, D., and Hanrahan, P. (2002) Polaris: A System for Query, Analysis and Visualization of Multi-dimensional Relational Databases. IEEE Transactions on Visualization and Computer Graphics, 8(1). pp. 52-65.
• August 8th: Marchenkol, M., Behrens, B-A., Wrobel, G., Scheffler, R., and Pleßow, M. (2011) A New Method of Visualization and Documentation of Parametric Information of 3D CAD Models. Computer-Aided Design and Applications, 8(3). pp. 435-448.
• July 25th: Mahyar, N., Sarvghad, A., and Tory, M. (2010). A Closer Look at Note Taking in the Co-located Collaborative Visual Analytics Process. IEEE Symposium on Visual Analytics Science and Technology (VAST). pp. 171–178.
• July 18th: Chau, D.H., Kittur, A., Hung, J.I., and Faloutsos, C. (2011) Apolo: Making Sense of Large Network Data by Combining Rich User Interaction and Machine Learning. ACM CHI Conference on Human Factors in Computing Systems. pp. 167-176.
• July 4th: Wang, T.D., Wongsuphasawat, K., Plaisant, C., and Shneiderman, B (2011) Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations. Journal of Medical Systems.
• June 27th: Willett, W., Heer, J., Hellerstein, J., and Agrawala, M. (2011) CommentSpace: Structured Support for Collaborative Visual Analysis. Proceedings of the Conference on Human Factors in Computing Systems (CHI 2011). video
• June 20th: Heer, J. and Robertson, G.G. (2007) Animated Transitions in Statistical Data Graphics. IEEE Transactions on Visualization and Computer Graphics.
• June 13th: Hailemariam, E., Glueck, M., Attar, R., Tessier, A., McCrae, J., and Khan, A. (2010) Toward a Unified Representation System of Performance-Related Data. International Building Performance Simulation Association Canada Conference. pp. 117-124.
• June 6th: Chin, G., Kuchar, O. a, & Wolf, K. E. (2009). Exploring the analytical processes of intelligence analysts. Proceedings of the 27th international conference on Human factors in computing systems - CHI ’09, 11. New York, New York, USA: ACM Press. doi: 10.1145/1518701.1518704.
• May 30th: Kandel, S., Andreas, P., Hellerstein, J., and Heer, J. (2011) Wrangler: Interactive Visual Specification of Data Transformation Scripts. Proceedings of the Conference on Human Factors in Computing Systems (CHI 2011). pp. 3363–3372. Website: http://vis.stanford.edu/wrangler/
• May 25th: Kang, Y. and Stasko, J. Characterizing the Intelligence Analysis Process: Informing Visual Analytics Design through a Longitudinal Field Study. Submitted to VAST 2011.

Spring 2011

• April 19th: Derthick, M. and Roth, S.F. (2001) Enhancing data exploration with a branching history of user operations. Knowledge-Based Systems, 14(1-2). pp. 65-74.
• April 5th: Baudisch, P., Good, N., Bellotti, V., and Schraedley, P. (2002) Keeping things in context: a comparative evaluation of focus plus context screens, overviews, and zooming. Proceedings of the SIGCHI conference on Human factors in computing systems (CHI).
• March 29th: Gotz, D., Zhou, M.X., and Aggarwal, V. (2006) Interactive Visual Synthesis of Analytic Knowledge. IEEE Symposium on Visual Analytics Science and Technology.
• March 8th: Suchow, J.W. & Alvarez, G. (2011). Motion silences awareness of visual change. Current Biology, 21, 140-143.
• March 1st: Shrinivasan, Yedendra B. & van Wijk, Jarke J. Supporting Exploration Awareness in Information Visualization. IEEE Computer Graphics and Applications Vol.29 No.5 (2009), pp. 34-43.
• Feb. 8th: Lee, B., Parr, C.S., Plaisant, C., Bederson, B.B., Veksler, V.D., Gray, W.D. & Kotfila, C. (2006) TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts. IEEE Transactions on Visualization and Computer Graphics, pp. 1414-1426.
• Feb. 1st: Robinson, A.C. (2008). Collaborative Synthesis of Visual Analytic Results. IEEE Symposium on Visual Analytics Science and Technology, pp. 67–74. IEEE. Retrieved February 1, 2011, from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4677358.
• Jan. 25th: Cui, W., Wu, Y., Liu, S., Wei, F., & Zhou, M.X. (2010). Context Preserving Dynamic Word Cloud Visualization. IEEE Pacific Visualization Symposium, pp. 121-128.
• Jan. 18th: Lipford, H.R., Stukes, F., Duo, W. Hawkins, M.E., & Chang R. (2010) Helping Users Recall Their Reasoning Process. IEEE Symposium on Visual Analytics Science and Technology, pp. 187-194.
• Jan. 11th: Freire, M., Plaisant, C., Shneiderman, B., and Golbeck J. (2010) ManyNets: An Interface for Multiple Network Analysis and Visualization. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI).

Fall 2010

• November 30: Elmqvist, N. and Fekete, J-D. (2010) Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines. IEEE Transactions on Visualization and Computer Graphics, 16(3). 439-454.
• October 19: Steimle, J., Brdiczka, O., & Mühlhäuser, M. (2009). CoScribe: Integrating Paper and Digital Documents for Collaborative Knowledge Work. IEEE Transactions on Learning Technologies, 2(3), 174-188. doi:http://doi.ieeecomputersociety.org/10.1109/TLT.2009.27
• October 12: Hetzler, E. and Turner., A. (2004) Analysis Experience using Information Visualization. IEEE Computer Graphics and Applications, 24 (5) pp. 22-26.
• Also October 12: J.A. Wise, J.J. Thomas, K. Pennock, D. Lantrip, M. Pottier, A. Schur, and V. Crow. (1995) Visualizing the Non-Visual: Spatial Analysis and Interaction with Information from Text Documents. Proceedings of Information Visualization. pp. 51-58.
• October 5: M. Kreuseler, T. Nocke, and H. Schumann, “A history mechanism for visual data mining,” 2004.
• September 28: N. Wook Kim, S. Card, J. Heer "Tracing Genealogical Data with TimeNets," AVI 2010

Summer 2010

• August 31: Bonsignore, E. M., Dunne, C., Rotman, D., Smith, M., Capone, T., Hansen, D. L., & Shneiderman, B. (n.d.). First Steps to NetViz Nirvana: Evaluating Social Network Analysis with NodeXL. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.7671
• August 24: Bederson, B.B. (2009) The Promise of Zoomable User Interfaces. CHI 2009.
• August 17: Shneiderman, B. and Plaisant, C. (2006) Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies. Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization, pp. 7.
• July 27: Heer, J., Kong, N., and Agrawala, M. (2009) Sizing the Horizon: The Effects of Chart Size and Layering on the Graphical Perception of Time Series Visualizations. CHI 2009.
• July 20: Heer, J., Bostock, M, and Ogievetsky, V. (2010) A Tour Through the Visualization Zoo. Communications of the ACM, 53(6). 59-67.
• July 13: Fisher, D. and Dourish, P. (2004) Social and Temporal Structures in Everyday Collaboration. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 551-558.
• July 6: Petra Isenberg and Danyel Fisher, "Collaborative Brushing and Linking for Co-located Visual Analytics of Document Collections" Eurographics/ IEEE-VGTC Symposium on Visualization 2009, Volume 28 (2009), Number 3
• June 22: Woods DD, ES Patterson, EM Roth, and K Christofferson. 2002. " Can We Ever Escape from Data Overload?" Cognition, Technology & Work 4:22-36.
• June 15: J. Scholtz, “Developing Qualitative Metrics for Visual Analytic Environments,” Submitted to BELIV, 2010.
• June 8: Jeffrey Heer and Michael Bostock, “Crowdsourcing graphical perception: using mechanical turk to assess visualization design,” in Proceedings of the 28th international conference on Human factors in computing systems (Atlanta, Georgia, USA: ACM, 2010), 203-212, http://portal.acm.org/citation.cfm?id=1753326.1753357&coll=Portal&dl=GUIDE&CFID=94277522&CFTOKEN=12307620.
• June 1: P. Saraiya, C. North and K. Duca An insight-based methodology for evaluating bioinformatics visualizations. IEEE Transactions on Visualizations and Computer Graphics Vol.11 No.4 (2005), pp. 443-456.
• May 18: Heer, J. and Boyd, D. (2005). Vizster: Visualizing online social networks. In INFOVIS '05: Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization, Washington, DC, USA. IEEE Computer Society.

• May 11: Nielsen, C. B., Jackman, S. D., Birol, I., and Jones, S. J. (2009). Abyss-explorer: visualizing genome sequence assemblies. IEEE transactions on visualization and computer graphics, 15(6):881-888.

• May 4: F. Viégas, S.Golder, J. Donath “Visualizing Email Content: Portraying Relationships from Conversational Histories”, CHI 2006

Spring 2010

• Apr. 27: Qu, Y. and Furnas, G.W. Model-driven formative evaluation of exploratory search: A study under a sensemaking framework. Inf. Process. Manage. 44, 2 (2008), 534-555.
• Apr. 13: Chinchor, N., & Pike, W. A. (2009). The science of analytic reporting. Information Visualization, 8(4), 286-293. doi:10.1057/ivs.2009.21
• Apr. 6: Kang, H., Plaisant, C., Lee, B., and Bederson, B.B. NetLens: Iterative Exploration of Content-Actor Network Data. Information Visualization 6 (2007), 18-31.
• Mar. 23: Patterson, E.S., Roth, E.M., and Woods, D.D Predicting Vulnerabilities in Computer-Supported Inferential Analysis under Data Overload. Cognition, Technology & Work Vol.3 No.4 (2001), pp. 224-237.
• Jan 19: Weaver, C. Conjunctive Visual Forms. IEEE Transactions on Visualizations and Computer Graphics 15, 6 (2009), 929-936.