Information Visualization

Teachers: 
Denis Lalanne

Introduction: La visualisation de l'information (Information visualization) est le domaine de recherche qui se concentre sur l'utilisation de techniques de représentation graphique de l'information pour aider les utilisateurs à comprendre et à analyser des grands ensembles de données. Alors que la visualisation scientifique se concentre plutôt sur la présentation des données de manière à respecter les propriétés physiques ou géométriques, la visualisation de l'information représente l'information de manière abstraite de façon à mettre en lumière de nouvelles connaissances ou structures.

Objectifs: Il sera demandé à chaque étudiant de choisir un thème parmis ceux proposés, de lire les articles correspondants, de les synthétiser et finalement de les présenter en fin de séminaire. De plus, un rapport de 4-6 pages devra synthétiser les lectures et présenter les travaux de recherche du thème choisi. Plus concrètement par rapport au sujet les objectifs sont:

  • Apprendre les principes impliqués dans la visualisation de l'information
  • Comprendre les différentes techniques d'interaction
  • Développer un esprit critique et être capable de choisir la bonne visualisation adaptée pour une application particulière
  • Apprendre à évaluer une visualisation
  • Acquérir les connaissances pour concevoir et implémenter des visualisations innovatives

Inscription: Les étudiants intéressés doivent s'annoncer au plus vite auprès de Denis Lalanne puisque le nombre d'étudiants sera limité à 6-8 personnes (i.e. les premiers inscrits). Le séminaire démarrera le vendredi 17 Novembre 2006 après midi et aura lieu 4 autres après midi. Plusieurs intervenants extérieurs et internes présenteront leurs recherches les plus récentes. Le programme détaillé du séminaire sera disponible prochainement.

Agenda :

  • Vendredi 17 novembre 2006 14h15:
    • Introduction au séminaire et choix des thèmes (Denis Lalanne) [pdf]
  • Vendredi 15 décembre 2006 14h15:< >Présentation des recherches internes au groupe DIVA dans le domaine de la visualisation de l'information + tutoriel sur comment bien présenter une recherche scientifique:

    < >FaericWorld (Maurizio Rigamonti) [pdf]

    Personal Information Management through Interactive Visualizations (Florian Evequoz) [pdf]

    « How to make a good scientific presentation » (Rolf Ingold) [ppt]

  • Vendredi 12 janvier 2007 14h15, auditoire E140:
    • Présentation de chercheurs externes sur le thème de la visualisation de l'information:
      • 14h15: Dominique Brodbeck (Macrofocus): "Tools, techniques, and lessons learned from developing commercial Infovis software"
      • 14h35: Riccardo Mazza (Unisi) "Monitoring Students in Course Management Systems: from tracking data to insightful visualizations" [pdf ]
      • 15h05: George Melissagos (Vizexperts) "Challenges in High Performance Visualization"
      • 15h25: Patrick Hertzog (NEXThink) "Visualizations to Improve Reactivity Towards Security Incidents Inside Corporate Networks" [pdf ]
      • 15h45: Enrico Bertini (UniFr) "SpiralView: a visual tool to improve monitoring and understanding of security data in corporate networks" [pdf ]
  • Mardi 7 Février 2007 14h15:
    • Présentation des étudiants du séminaire:
    • 14h15- Daniele Della Bruna
      "Visual Perception & Graphical Principles" [report] [ppt]
    • 14h35- Yannick Thiessoz
      " Temporal visualizations " [pdf ] [ppt ]
    • 14h55- Jeannette Frey
      " Animation " [report ] [ppt ]
  • Vendredi 2 février 2007 14h15:
  • March 2007:
    • Gionatan Laveglia
      " High-Dimensional Data Representations "
    • Michael El-Betjali [report][presentation]
      "Trees and Hierarchies"

Thèmes: Les thèmes du séminaire sont listés ci-dessous. Chaque thème comprend une série d'articles, dont les liens sont fournis, sauf pour les articles de livres [book] pour lesquels vous devrez nous contacter directement.

Note : Pour des raisons de copyright, la plupart des liens ne sont accessibles que depuis les ordinateurs de l'université ou en utilisant VPN.

- Overview of the field

  • S. Card, J. Mackinlay and B. Shneiderman, Readings in Information Visualization, Using Visualization to Think Morgan Kaufmann, 1999, pp. 1-34. [book]
  • Chaomei Chen,"Top 10 Unsolved Information Visualization Problems," IEEE Computer Graphics and Applications, Vol. 25, No. 04, pp. 12-16, Jul/Aug 2005. [pdf]
  • N. Gershon, S. Eick and S. Card, "Information Visualization", ACM Interactions, vol. 5, no. 2, pp. 9-15, March/April 1998. [pdf]
  • Daniel Keim, "Information Visualization and Visual Data Mining", IEEE Trans. on Visualization and Computer Graphics, Vol. 8, No. 1, Jan-Mar 2002. [pdf]

- Visual Perception & Graphical Principles

  • Colin Ware. Foundation for a Science of Data Visualization. Information Visualization, Ch. 1. Morgan Kaufmann 2nd ed. [book]
  • Christopher G. Healey. Perception in Visualization. [html]
  • C. Brewer. Color use guidelines for data representation. [html]
  • Graphical Perception: Theory, Experimentation and the Application to the Development of Graphical Models William S. Cleveland, Robert McGill, J. Am. Stat. Assoc. 79:387, pp. 531-554, 1984. [pdf]
  • Bernice E. Rogowitz and Lloyd Treinish. "How Not to Lie with Visualization." Computers in Physics, 10, n.3, pp. 268-274, May/June 1996. [html]

- Dimensional Data Representations

  • Patrick Hoffman, Georges Grinstein and David Pinkney. "Dimensional anchors: a graphic primitive for multidimensional multivariate information visualizations". Proceedings of the workshop on new paradigms in information visualization and manipulation, Nov. 1999, pp. 9-16. [pdf]
  • Daniel A. Keim, "Designing Pixel-Oriented Visualization Techniques: Theory and Applications," IEEE Transactions on Visualization and Computer Graphics ,vol. 06, no. 1, pp. 59-78, January-March, 2000. [pdf]
  • Alistair Morrison, Greg Ross, and Matthew Chalmers, "Fast multidimensional scaling through sampling, springs, and interpolation," Information Visualization, Vol. 2, No. 1, March 2003, pp. 68-77. (Also at InfoVis '02). [pdf]
  • Matt Williams and Tamara Munzner, "Steerable, Progressive Multidimensional Scaling", Proceedings of IEEE Symposium on Information Visualization 2004, Austin, TX, Oct. 2004, pp. 57-64. [pdf]
  • Jinwook Seo and Ben Shneiderman, "A rank-by-feature framework for interactive exploration of multidimensional data", Information Visualization, Vol. 4, No. 2, Summer 2005, pp. 96-113. [pdf]
  • Jing Yang, et al., "Value and Relation Display for Interactive Exploration of High Dimensional Datasets", Proceedings of InfoVis '04, Austin, TX, Oct. 2004, pp. 73-80. [pdf]

- Focus + Context

  • Leung, Y. and Apperley, M. "A review and taxonomy of distortion-oriented presentation techniques", ACM Transactions on Computer-Human Interaction, Vol. 1, No. 2, June 1994, pp. 126-160. [pdf]
  • Bederson, Benjamin, "Fisheye Menus", Proceedings of UIST 2000, San Diego, CA, Nov. 2000, pp. 217-225. [pdf]
  • Carpendale, M.S.T and Montagnese, Catherine, "A Framework for Unifying Presentation Space", Proceedings of UIST 2001, Orlando, FL, Nov. 2001, pp. 61-70. [pdf]
  • G. Furnas, "Generalized Fisheye Views", Proceedings of SIGCHI '86, New York, pp. 16-23, 1986. [pdf]
  • Rao, Ramana and Card, Stuart K., "The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+Context Visualization for Tabluar Information", pp. 318-322, Proceedings of the ACM SIGCHI '94 Conference on Human Factors in Computing Systems, Apr. 1992, Boston, MA. [pdf]
  • Stasko, John T. and Zhang, Eugene, "Focus+Context Display and Navigation Techniques for Enhancing Radial, Space-Filling Hierarchy Visualizations", Proceedings of IEEE Information Visualization 2000, Salt Lake City, UT, October 2000, pp. 57-65. [pdf]

- Trees and Hierarchies

  • Tamara Munzner, "Exploring Large Graphs in 3-D Hyperbolic Space", IEEE Computer Graphics & Applications, Vol. 18, No. 4, Jul/Aug. 1998, pp. 18-23. [pdf]
  • Tamara Munzner, Francois Guimbretiere, Serdar Tasiran, Li Zhang, and Yunhong Zhou, "TreeJuxtaposer: Scalable Tree Comparison using Focus+Context with Guaranteed Visibility," Proceedings of SIGGRAPH 2003, 2003. [pdf]
  • Catherine Plaisant, Jesse Grosjean, and Ben Bederson, "SpaceTree: Design Evolution of a Node Link Tree Browser", Proceedings of IEEE Information Visualization '02, Boston, MA, Oct. 2002, pp. 57-64. [pdf]
  • Bruls, D.M., C. Huizing, J.J. van Wijk. "Squarified Treemaps", Proceedings of EuroGraphics 2000, pp. 33-42. [pdf]
  • Martin Wattenberg, "Visualizing the Stock Market", SICGHI '99 Extended Abstracts Proceedings, Pittsburgh, PA, pp. 188-189, May 1999. [pdf]
  • Jing Yang, Matthew Ward, and Elke Rudensteiner, Anilkumar Patro, "InterRing: a visual interface for navigating and manipulating hierarchies", Information Visualization, Vol. 2, No. 1, March 2003, pp. 16-30. (From InfoVis '02). [pdf]

- InfoVis Systems and Toolkits

  • S. Eick, "Visual Discovery and Analysis", IEEE Transactions on Visualization and Computer Graphics, Vol. 6, No. 1, Jan-Mar 2000, pp. 44-58. [pdf]
  • Jean-Daniel Fekete, "The InfoVis Toolkit", Proceedings of InfoVis '04, Austin, TX, Oct. 2004, pp. 167-174. [pdf]
  • Jean-Daniel Fekete, Catherine Plaisant, "Interactive Information Visualization of a Million Items", Proceedings of InfoVis '02, Boston, MA, Oct. 2004, pp. 117-124. [pdf]
  • Jeffrey Heer, Stuart K. Card, James A. Landay, "prefuse: a toolkit for interactive information visualization", Proceedings of ACM CHI '05, Portland, OR, April 2005, pp. 421-430. [pdf]
  • Chris North, Nathan Conklin, Kiran Indukuri, and Varun Saini, "Visualization of Schemas and a Web-Based Architecture for Custom Multiple-View Visualization of Multiple-Table Databases", Information Visualization, Vol. 1, No. 3/4, Dec. 2002, pp. 211-228. [pdf]
  • Diane Tang, Chris Stolte, and Pat Hanrahan, "Design Choices when Architecting Visualizations," Proceedings of IEEE InfoVis '03, Seattle, WA, Oct. 2003, pp. 41-48. [pdf]

- Interaction

  • A. Dix and G. Ellis, "Starting Simple - adding value to static visualisation through simple interaction." Proceedings of Advanced Visual Interfaces (AVI) '98, L'Aquila, Italy, May 1998, pp. 124-134. [pdf]
  • Steve Eick, "Data Visualization Sliders", Proceedings of UIST '94, Marina Del Rey, CA, pp. 119-120, 1994. [pdf]
  • Fekete, Jean-Daniel and Plaisant, Catherine, "Excentric Labeling: Dynamic Neighborhood Labeling for Data Visualization", Proceedings of the SIGCHI '99 Conference, pp. 512-519, Pittsburgh, PA, 1999. [pdf]
  • Christopher Ahlberg and Ben Shneiderman, "Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays." In Human Factors in Computing Systems: Proceedings of the CHI '94 Conference. New York: ACM, 1994. [pdf]
  • Robert Spence and Lisa Tweedie, "The Attribute Explorer: information synthesis via exploration", Interacting with Computers, Vol. 11, pp. 137-146, 1998. [pdf]
  • Graham Wills, "Selection: 524,288 Ways to Say "This is Interesting"," Proceedings of IEEE InfoVis '96, San Francisco, CA, Oct. 1996, pp. 54-60. [pdf ]

- Taxonomies of Information Visualization

  • S. Card, J. Mackinlay and B. Shneiderman, Readings in Information Visualization, Using Visualization to Think
  • Morgan Kaufmann, 1999, pp. 1-34. [book]
  • Ed Chi, "A Taxonomy of Visualization Techniques using the Data State Reference Model," Proceedings of InfoVis '00, Salt Lake City, UT, Oct. 2000, pp. 69-75. [pdf]
  • Ben Shneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations." Proc. 1996 IEEE Visual Languages, Boulder, CO, Sept. 1996, pp. 336-343. [pdf]
  • Melanie Tory and Torsten Moller, "Rethinking Visualizations: A High-Level Taxonomy", Proceedings of InfoVis '04, Austin, TX, Oct. 2004, pp. 151-158. [pdf]

- Visualization with Data Clustering

  • T. C. Sprenger, R. Brunella, M. H. Gross. "H-BLOB: A Hierarchical Visual Clustering Method Using Implicit Surfaces". Proceedings of the 11th IEEE Visualization 2000 Conference (VIS 2000). [pdf ]
  • Ying-Huey Fua, Matthew O. Ward, Elke A. Rundensteiner. Hierarchical parallel coordinates for exploration of large datasets. Proceedings of the conference on Visualization '99, 43-50, 1999. [pdf ]
  • Jinwook Seo, Ben Shneiderman, "Interactively Exploring Hierarchical Clustering Results," Computer ,vol. 35, no. 7, pp. 80-86, July, 2002. [pdf ]
  • George S. Davidson, Brian N. Wylie, Kevin W. Boyack, "Cluster Stability and the Use of Noise in Interpretation of Clustering," infovis , p. 23, 2001. [pdf ]
  • Alexander Hinneburg, Daniel A. Keim, Markus Wawryniuk, "HD-Eye: Visual Mining of High-Dimensional Data," IEEE Computer Graphics and Applications ,vol. 19, no. 5, pp. 22-31, September/October, 1999. [pdf ]
  • G.J. Wills, "An Interactive View for Hierarchical Clustering," infovis , p. 26, 1998. [pdf ]
  • Climer, S. and Zhang, W. 2004. Take a walk and cluster genes: a TSP-based approach to optimal rearrangement clustering. In Proc. of ICML '04. ACM Press, New York, NY [pdf ]

- Time-based visualization

  • W. Muller and H. Schumann, "Visualization Methods for Time-Dependent Data - An Overview," Proc. of 2003 Winter Simulation Conference, 2003, pp. 737-745. [pdf ]
  • J. Carlis and J. Konstan, "Interactive Visualization of Serial Periodic Data", Proc. of UIST '98, Nov. 1998, pp. 29-38. [pdf ]
  • H. Hochheiser and B. Shneiderman. "Dynamic query tools for time series data sets: Timebox widgets for interactive exploration," Information Visualization, Vol. 3, No. 1, Spring 2004, pp. 1-18. [pdf ]
  • J. Lin, E. Keogh and S. Lonardi, "Visualizing and discovering non-trivial patterns in large time series databases", Information Visualization, Vol. 4, No. 2, Summer 2005, pp. 61-82. [pdf ]
  • C. Plaisant, et al, "LifeLines: Visualizing Personal Histories." Proc. of CHI '96, pp 221-227. [pdf ]
  • J. van Wijk and E. van Selow, "Cluster and Calendar based Visualization of Time Series Data", Proc. of InfoVis '99, Oct. 1999, pp. 4-9. [pdf ]

- Animation

  • B. Tversky, et al, "Animation: can it facilitate?", Intl. Journal of Human-Computer Studies, Vol. 57, No. 4, Oct. 2002, pp. 247-262. [pdf ]
  • L. Bartram, C. Ware, T. Calvare, "Filtering and Integrating Visual Information with Motion ", Proceedings of InfoVis 2001. [pdf]
  • L. Bartram, et al, "Moticons: detection, distraction, and task", Intl. Journal of Human-Computer Studies, Vol. 58, No. 5, May 2003, pp. 515-545. [pdf ]
  • D. S. McCrickard, et al, "Establishing Tradeoffs that Leverage Attention for Utility: Empirically Evaluating Information Display in Notification Systems", Intl. Journal of Human-Computer Studies, Vol. 58, No. 5, May 2003, pp. 547-582.[pdf ]
Date: 
2006, Winter