This week has been pretty short due to the long weekend for the fourth of July. I had a pretty memorable
weekend, working with my friend Julia from Colby on the campaign for Team Minnesota (check them out at
http://www.teamMN.com/). So, I participated in a number of parades,
even braving a sumo suit and "fighting" as either the GOP or the DFL (don't get bogged down in political
bickering...vote Independent! Not left, not right, forward -- or at least that's the idea). The parades
were fun because I was able to visit a lot of suburbs. I am seeing much more of Minnesota than I ever
expected!
Okay, so in terms of work, I met with my mentor Vicki on Thursday for the first time. She told me that I
will be working on this color palette preference project as my main focus this summer. It is exciting to
have a real project and a focus finally, but I am a little bit disappointed because I am really interested
in the projects involving virtual realities. Vicki is very friendly and clearly a great researcher,
and I am looking forward to working with her. So, after our meeting, I set off on the color project. The
research is based on the theory that a multivariate visualization (in other words an image that displays
data in some way) will be more effective and easier to understand if the reader finds the color palette
used in the image to be pleasing. Additionally, Vicki and Coleman have hypothesized that the color palettes
found in natural images (pictures of nature) may be more pleasing than those generated through various
methods on computers. In order to test these theories, Coleman created what we call "noise images" for
a number of natural images and multivariate visualization images. Basically, these are images that retain
the colors present in the original picture in the correct percentages, but remove the original context of
the image to be sure that a test participant is reacting only to the pleasntness of the colors and not the
picture they form. Noise images are just a bunch of colored dots -- the background of this website is
actually a noise image of a fall foliage scene. Pretty cool! So, in the original study, users were asked
to rate 54 of these noise images, half natural have multivariate visualizations, in order of pleasntness.
This is how Vicki and Coleman collected their original data.
In our meeting on Thursday, Vicki told me that she presented the color palette research at the Italy
conference, and that the main criticism she received was that people wanted her to compare the color
palettes of the natural images to the color palettes of the multivariate visualization images with the
backgrounds removed. In the original study, Coleman and Vicki had created the multivariate color paletes
from the complete multivariate images, including the often dominant white background. This means that the
multivariate visualization noise images are often blatantly uglier because they are mainly white with a few
specs of color. So my job is to create a whole new set of noise images, both increasing the complete set
number to 100 and creating new noise images for all the multivariate visualization images with their
backgrounds removed.
At this same meeting with Vicki, Leanne was asked to build a three-dimensional city model to use with the
head mounted display so that Vicki can conduct a user study looking at different methods of navigating
through a large virtual environment in a physically small room. Leanne is not the hugest fan of
programming, and I really want to learn graphics programming, so I have also been helping her out with
her project. Over the weekend we got a very rough version of the city up and running, which was really
exciting. Basically it is just 100 huge colored boxes at the moment, but it is still cool to be able to
draw a city plan on paper and then walk around in it with the head mounted display just a few days later.
So much fun!
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