(Very rough drawings, would be a lot more filled with color, and constantly moving as people move)

CONNECTIONS TO EXAMPLES:

1 ) As with Wattenburg and Viegas' wind map, this data visualization gives insight on factors that cannot be noticed or recorded normally that affect this specific phenomenon.

2) Similarly to Lozano-Hemmer's Pulse Room, this representation allows people to feel a connection to the visualization: they know what they themselves are wearing and how they are moving, but they also get to see how they are part of a flow within the CMU community.

3) Connecting to Lufte's "The Visual Display of Quantitative Information", this solution reflects graphical excellence because it provides undistorted data in a way that allows for people to focus on the data and not how or why the data is being visualized. It also allows for varied levels of specificity - one can just look at colors in general, but can go down to specific articles of clothing and times of the day. The side by side comparison option also encourages people to make these comparisons and scan for different types of trends based on the different factors.

 4) This also reflects Viegas' idea of a "forceful point of view",  because users are only given the option of viewing traffic flow around campus only based on the clothes that people are wearing and a very limited selection of other factors, forcing them to make inferences based on clothing.

 

During the group feedback stage, I received a lot of good advice about how to incorporate multiple levels of specificity rather than just tracking the movement of colors and moved the solution farther towards the ideals of graphical excellence.