Toward the end of the semester, you'll be asked to present the details of a published Visual Analytics research paper to your fellow students. That presentation is described in Assignment 9. However, first you'll need to select the paper that you plan to present. Your task in this assignment is to browse the Visual Analytics literature to find a paper that (a) covers a topic that interests you, and (b) is one that you will be comfortable presenting to the class.
It is important to note that presenting a research paper requires more than just a surface understanding. You'll need to dig deep into the content of the paper, understand what the authors have written, and prepare a summary presentation (~6 minutes plus questions from the class) through which you can teach your classmates. Keep this in mind as you choose your paper.
You need to browser the visual analytics literature and select two papers that you would be comfortable presenting. One will be your "first choice" paper, and the other will be a backup in case another student chooses the same one to present.
Be sure to skim the full paper before you select it for your presentation. Don't judge a paper by its title, or even its abstract! This will also help make sure that you have access to the full text of the paper via the UNC library before you make a selection.
Also note that the paper must be at least 8 pages long. There are some publications you may find that are just 2 or 4 pages. Those are not allowed for this assignment. You must select a full-length paper of at least 8 pages.
The best place to look for papers is in the proceedings of IEEE VIS. I maintain a campus-access only (or VPN) web server where I have shared my own personal copies of the digital proceedings from 2012 onward. These may be easier to use when browsing compared to some other public facing websites. You can access those proceedings via this link (on campus or with VPN only).
Another place to browse is the proceedings of the IEEE VIS Conference on the IEEE Digital Library. However, the digital library is somewhat complicated due to the complex history of the various conferences that have been held over the years. First, you can look at proceedings from the Visual Analytics Science and Technology Conference (also known as IEEE VAST). Up through 2020, VAST was one of three conferences (VAST, InfoVis, SciVis; or V, I, S) that were held at the same time/place. In 2020, these officially merged to as a single event with a single proceedings under the name IEEE VIS. You may select IEEE VAST papers (which only exist from up through 2020) as well as IEEE VIS papers when making your selections.
Any full length (at least 8 pages) paper you find via the instructions above is an acceptable choice for this assignment. Short papers (typically 4 pages) or poster abstracts (typically 2 pages) are not allowed. You can also, if you wish, look more broadly than IEEE VAST or VIS papers using tools such as Google Scholar, IEEE Xplore, or the UNC Library. You will be able to find relevant papers published in a variety of venues. However, you need my approval to submit such a paper as your choice. See the red box below.
Create a document with the full citations for both your first and second choice papers. Submit that document as a PDF to "Assignment 7" in Canvas.
Your choices must be submitted to Canvas by the time class starts on the due date listed on the class schedule.