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Week 11: RFID Tags Track Possible Outbreaks
11-06-2014, 05:54 PM
Post: #1
Week 11: RFID Tags Track Possible Outbreaks
Here is a interesting visualization from scientific american. European researchers tagged people in a hospital with RFID tags and tracked their movements. Who the people interacted with is displayed in the visualization which can be found below:

RFID Tags Track Possible Outbreaks

Description
The visualization splits people at the hospital into groups such as nurses and patients. Each person is represented by a bubble where each bubble consists of an inner and outer bubble. The inner bubble's area represents the number of people of a particular group that person has interacted with and the outer bubble's area shows the total number of people that person has interacted with. Individual interactions between two people are represented by a line linking two bubbles together. The visualization is interactive and different groups can be selected.

Critique
Things I like:
1. Color, grouping, and relative size are all used to show group membership. I think that the use of three separate channels for this data really made it apparent which people were in which groups.
2. There is a easy to find button that describes how to interpret the visualization.
3. A lot of data displayed in a really small area.
4. Interactive features make it easy to study interactions between different groups which should make it easy to implement policies for those groups. (example nurses should only interact with a small group of patients)


Things I didn't like:
1. The bubbles overlap in the visualization which makes it hard to tell the actual relative size of each individual bubble. For the nurses it is so bad that the entire group of people look like one long rounded curvy triangle.
2. There is no key for the bubble size or indication of the scale that the bubble size is on. Other than counting the number of lines coming out of each bubble there is no way to judge the connectivity of a person.
3. I think the hue choice for nurses and physicians is a bit too close to be easily differentiable.
4. The visualization seems a bit slow.
5. It seemed like the lines could be spread out more evenly throughout the visualization instead of concentrating them into the center. This would cut down a bit on the occlusion.
6. Lines change color halfway through which makes following them kind of hard.
Overall a pretty cool visualization.
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Week 11: RFID Tags Track Possible Outbreaks - mmath - 11-06-2014 05:54 PM

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