Lecture: Visual Analytics Tools
In this lecture you will introduce several visual analytics tools and techniques by giving a short presentation about a research paper. The presentation will be graded as one of the assignments.
Paper Selection
Below you will find a couple of papers to choose from. If you cannot access a paper from the pdf link I provided do the following:
- try to google the title of the paper - often you can find other sources such as the personal websites of the authors (do pay attention, though that you grab the same version of the paper)
- try to access them from your university's wifi - the university often has access to digital libraries enabled by default from within the university's network
- if you still cannot access a paper let me know which one it is and I will try to send it to you
Presentation on 13/10/2016 09:15
| Presenting Student | Paper | Possible pdf link | |
| Mariana Patricio | 1. | Polaris: a system for query, analysis, and visualization of multidimensional relational databases, Stolte, C.; Tang, D.; Hanrahan, P., in IEEE TVCG, 2002 | (pdf) |
| Jorge Galicia Auyon | 3. | Collaborative Visualization using RCloud, Sheidegger et al. , VAST, 2015 | (pdf) |
| Luis Alejandro Ruiz Bareno | 5. | Jigsaw: supporting investigative analysis through interactive visualization, John Stasko, Carsten Görg, and Zhicheng Liu, VAST, 2007 | (pdf) |
| Adrien Sieg | 7. | VisTrails: Visualization Meets Data Management. S. P. Callahan, J. Freire, E. Santos, C. E. Scheidegger, C. T. Silva, H. T. Vo. ACM SIGMOD 2006. | (pdf) |
| Kevin Fernandes | 8. | Show Me: Automatic Presentation for Visual Analysis. J. Mackinlay, P. Hanrahan and C. Stolte. IEEE InfoVis 2007. | (pdf) |
| Judith Jeyafreeda Andrew | 10. | Exploring the Analytical Processes of Intelligence Analysts. George Chin Jr., Olga A. Kuchar, and Katherine E. Wolf. CHI 2009. | (pdf) |
| Aurélie Lefebvre | 17. | CHI 1994-2013: Mapping Two Decades of Intellectual Progress through Co-word Analysis Yong Liu, Jorge Goncalves, Denzil Ferreira, Bei Xiao, Simo Hosio, Vassilis Kostakos. Proceedings of ACM CHI 2014 | (pdf) |
Presentation on 3/11/2016 11:00
| Presenting Student | Paper | Possible pdf link | |
| Can Wang | 9. | The sandbox for analysis: concepts and evaluation, William Wright, David Schroh, Pascale Proulx, Alex Skaburskis, and Brian Cort, ACM CHI 2006 | (pdf) |
| Karim Kanatov | 4. | Using visualizations to monitor changes and harvest insights from a global-scale logging infrastructure at Twitter, in Visual Analytics Science and Technology (VAST), Wongsuphasawat, K.; Lin, J., 2014 | (pdf) |
| Musab Bairat | 6. | Snap-Together Visualization: A User Interface for Coordinating Visualizations via Relational Schemata. C. North and B. Shneiderman. AVI 2000. | (pdf) |
| Victor Flores Garcia | 12. | PivotPaths: Strolling through Faceted Information Spaces, M. Dörk, N. Henry Riche, G. Ramos and S. Dumais,, in IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 12, pp. 2709-2718, Dec. 2012. | (pdf) |
| Bahadir Akyuz | 13. | Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations, Kanit Wongsuphasawat Dominik Moritz Anushka Anand Jock Mackinlay Bill Howe Jeffrey Heer, IEEE Information Visualization (Infovis), 2015 | (pdf) |
| Vladyslav Chetyrkine | 14. | The Effects of Interactive Latency on Exploratory Visual Analysis, Z. Liu and J. Heer in IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 12, pp. 2122-2131, Dec. 31 2014. | (pdf) |
| Suela Isaj | 15. | Making Sense of Temporal Queries with Interactive Visualization Leilani Battle, Danyel Fisher, Robert DeLine, Mike Barnett, Badrish Chandramouli, and Jonathan Goldstein. 2016., Proceedings of the Conference on Human Factors in Computing Systems (CHI) | (pdf) |
| Moditha Hewasinghage | 16. | Visual readability analysis: How to make your writings easier to read D. Oelke, D. Spretke, A. Stoffel, and D. Keim. IEEE VAST 2010 | (pdf) |
Papers that will not be presented
| unassigned | 2. | CiteRivers: Visual Analytics of Citation Patterns, in IEEE TVCG, Heimerl, F.; Han, Q.; Koch, S.; Ertl, T., 2015 | (pdf) |
| unassigned | 11. | Low-Level Components of Analytic Activity in Information Visualization. Robert Amar, James Eagan, and John Stasko. InfoVis 2005 | (pdf) |
Presentation format
Every presentation has to be a maximum of 8 minutes long. It should be pedagogical. Try to teach your fellow students and instructors about what you have learned from reading the paper.
- Start with a short introduction of the goal and contribution of the work you read about (1-2 slides)
- Then, show the main contribution of the paper. This can, for example, be an analysis, a system, or an algorithm. Feel free to use a video, a demo or slides (in order of preference). Keep it under time control.
- Then, give more "important" details. One per slide with illustration. Tell us why you think they are important.
- Finish in the conclusion with a take-away message and a personal statement about what you think yourself about the work or the paper.
It's highly recommended you practice your talk at least once (either alone or with a friend) to make sure you will not go over time.
On the day of your presentations bring your laptop and if necessary VGA adapters for your laptop to do the presentation. Do not expect internet to work in the room, so download any media you may want to show. If you don't have a laptop for your presentation send me your presentation a day in advance so that I can test it on my laptop.
TODO
Send an email to petra.isenberg@inria.fr with the titles and row numbers of your favorite papers (up to five total) listed in order of preference. A couple of days later, all students will be informed which paper they have been assigned and when they will present it.
The deadline for sending preferences is Friday October 7th. at 23:00
Student-paper assignments will be done using the Hungarian method. A student getting her first choice will be assigned a cost of -5, the second choice is -4, etc. Getting an unlisted paper yields the highest cost of 0. This situation cannot be avoided altogether but the risk of it happening lowers with the number of papers listed (up to 5). The algorithm tries to minimize the total cost.
Students who send their preferences too late (e.g., absent) will be assigned a remaining paper.