This is an interactive installation built by Processing.
Each character sets of 'monster' will follow as someone walks by
the installation, and will start to attack the person if one stays longer
enough in target place. Then, the monster will reveal it's message
once the person walks away from the target place. Also this
installation searches random twitter title containing specific
keyword, such as "Hello Stranger" and displays them when it is
released.
It is about phenomenal transition in SNS(Social Networking Service),
and how these services change, and define our identity. I believe
I can not simply defined some one by looking at their SNS like a
twitter, yet we are surrounded by these services.
Can I know some one by just looking at their twitter entries?
or they are simply distracting us from finding what is really behind
the text?

Its main algorithm is from the open processing. Then I combined
video tracking example from the Processing application. In order to
use original source code from the open processing, I had to modify
it for my use. First, I changed each character's font type to
BinaryITC, and I had to created svg file for each character set.
Then, I intergrated tracking algorithm, so each monster can follow
dark object in the screen instead of following mouse point.
Moreover, I made a hot spot zone, where monster starts to attack if object or person stays more than enough time. In addition, I used
twitter RSS search to create random message. However, it started
to crash when the program needs to display longer twitter entries,
and legibility started to loose when entry was too long. Thus, I
had to shorten the length of the entry, and that is why it
sometimes does not display a full sentence. Finally, I did fine tune
for the best performance :)

Souce Code :
t_monster  | Monster | Particle | Type

Download Application (Win&Mac)

Screen Shoot :


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