Blog Post

Pushing Boundaries in Information Visualization

Saturday I went to an information visualization seminar organized by the UNC chapter of ASIS&T and held at the main RENCI facility located on the UNC-CH campus, with staff from RENCI and faculty from the Information and Library Sciences, Communications, and Art Departments represented.

One of the spaces at the facility is a visualization space for collaborative groups - one room with wraparound walls. What could you do with a monitor that wraps around all four walls of the room, that you can drag and drop any item on the computer desktop to anywhere? With locative sensors for many items? Interesting possibilities.

Fascinating presentation on "visualizing DNA damage response protein replication networks" from a systems biology perspective, and a nice presentation on using visualization in information retrieval using clustered commodity gear and distributed applications instead of supercomputers.

On a similar note but having nothing directly to do with RENCI, I recently tested a head-mounted "personal cinema display system" from Headplay. In comparison to older VR rigs, I found it to be surprisingly lightweight and in the price range of a decent digital point-and-shoot camera as opposed to a higher-end laptop. While not perfect, it works surprisingly well.


As a functional test I cropped and uploaded the above picture to flickr, then wrote this entry using the device. I would not want to use the current model for extended lengths of time, but for shorter periods I found it surprisingly functional. 



The collaboroative interactive infoviz room sounds interesting.


I think that's a bit of a stretch, personally speaking.

However, here is a neat visualization of the stock market.




Hi Lynn,

You've probably heard of IBM's many eyes's site, but just in case you haven't, you should check it out:

You can upload data and invite others to help you "visualize" it through different options: maps, clouds, trees, etc. Participation is facilitated through user-friendly comment system where you can actually refer to parts of the visualization. Users can help each other visualize the data in a better way or from a different viewpoint to get more out of a set of information.

It's relatively new, and I haven't explored the site extensively so I don't know how widely used this site is, but it could possibly be like the wikipedia of data sets.

The forum on food shows promise:

- Ga-Young