Skin of CMU
Made by Brian Lai
Made by Brian Lai
We as people share many things in common. We all eat, breathe, and sleep - and we all wear clothing (well, most of the time). For some, choice of clothing may not be a big deal. But in the end, deciding what to wear every day is a decision shared by all of us living in civilized community.
Created: September 14th, 2014
We as people share many things in common. We all eat, breathe, and sleep - and we all wear clothing (well, most of the time).
For some, choice of clothing may not be a big deal. But in the end, deciding what to wear every day is a decision shared by all of us living in civilized community.
I think this visualization would be very informative as well as meaningful. It would be really cool to see what factors affect the color of clothes.
The only barrier I see is the implementation. I do not think it's plausible that a significant amount of people would download that app and keep it updated daily. And I also don't know how else to get that information. Maybe computer vision/machine learning with security cameras around campus? Is that creepy/ do we have enough cameras for that?
I think this is a really interesting idea, and you brought it towards more of an artistic side instead of having the app be for any express "purpose", like we talked about in class, and I think that is really interesting and can open a lot of possibilities for even more artistic directions this can go in. However, I was wondering about the specificity of the flowing lines and colors. Is this movement going to be real-time or sped up? In between classes traffic will be heavier and during down times there will be no movement at all, so will it be an average, so no matter when you look at it you will see movement?
I think you might have another problem with implementation: if you try to show every person's color on the map, you'd have too many small points of different colors to be able to see overall trends. You might want to think of a way to find patterns in the data and exaggerate them in the display, or somehow tweak how things are displayed to make the patterns more visible.
I could be wrong, though. Maybe this would be fine. It's hard to say without implementing it.
@ Francisco - Yeah I realized that participation would probably be lacking since there is not really much that people gain from using the app, and they probably wouldn't care enough to keep updating the clothes that they are wearing. I also though about using camera coverage at a point high above the campus, but at best this would only be able to report color and not clothing type
@ Amanda - I guess I hadn't really thought too hard about it, but in my mind I planned it to be a real-time updating map because I wanted to have time as a factor for the movement, and if there was a time when there was little to no movement then I think that would still be okay.
@ Kim - I can see how this could be a concern. I think a reasonable solution would be either to blend colors when the density gets too high to show a general color of the area, or to just shrink the aount of space each dot (person) gets on the map.
I think this is a very interesting idea, and it would be cool to see how many people are wearing a certain color at any given time! I do wonder, though, how type of clothing would be recorded in this visualization? I understand how color of clothing would be represented, but how would you make representations of people wearing, say, heavy coats or winter clothing look different than someone wearing shorts and a t-shirt?
Great job of linking to the examples! I think the presentation of your project accurately represents your goal. Consider the "map" under the colors, is there a different way to represent that information that is more cohesive to the colors/lines? Could it somehow link to how we (as humans/students) view "getting dressed" everyday?
The careful consideration of your peers' feedback is also great, and it could be helpful in later iterations of this project.
You must login before you can post a comment. .