Even simpler…

Today we showed at ITP our midterm projects. Below are some pictures:

This is the one I did:

TOGI now it has sound – which you can turn off – and speed adjustments.
The voice over can be better 🙂

Caleb (my roommate) got a solar recharger for his birthday – here’s a picture of it charging my iPhone 🙂 It really works!

Animated TOGI to dance to music.. this is a trial of the shapes… tomorrow I will put it into Virtools and then it will dance to any music you play to it – it will react to the music 😉

Subconscious Picture Rating Tool
– An eye tracking device with a picture slide show
– 4 pictures are shown
– You pick one of them as your favorite
– The eye tracking in the mean time, recorded which was the picture you actually looked at the most
– At the end, the results are show – what you picked vc. what your eye “picked”

The iPhone’s slick metallic back is great but it always seems like it’s going to slip off my hand if I am trying to use it with one hand only.
So I created iHold! It allows you to use your iPhone with one hand without the fear of dropping it!
You can also do it to use 2 fingers – AND you can still use the belt clip.
Compatible with most iPhone covers with belt clips 🙂

Fixed some bugs and made it even simpler to play.
Click on the buttons or use arrow keys.

Click HERE to play in full screen.
Right-click HERE for the source Flash file.

So TOGI keeps going – figured I’d use it for the “From Physical to Virtual and Back” class as well. Modeled TOGI and animated it in Maya using polygonal transformations.

Here’s a quick movie:

For “Computers for the Rest of You” we have to come up with a project that reads “data” from our body (heart rate, brain waves, sweat, eye movement…) and investigate what it can tell us about ourselves.

I decided to keep on developing my eye tracking idea:

Hypothesis
When people are tasked to pick their favorite photograph from several photos, it is not always the one they spent the most time looking at.

Method
Several subjects will be asked to pick their favorite photo. They will then be presented with three equally sized photos in a Processing window. Eye tracking will record their eye motions while the pick their favorite photo and record it by clicking. The eye tracking data will be compared with the favorite picks to see if there is a correlation between time spent looking at a photo and the favorite picked.