My first year studying Tangible Interaction Design at Carnegie Mellon University has been full of new technologies, diverse discussions, and an incredible community of makers, artists, and researchers.

I’m focused on research and design for interactive experiences, leveraging my background in theatre performance design and fine art with experiments in sensing environments, virtual and mixed reality, interactive web experiences, and uniting the digital and physical environments.

I’ve just begun a longer project collaborating with Pittsburgh dance/music duo Slowdangerexploring the possibilities of capturing bodies in space, investigating point cloud data, photogrammetry, and creating 3D meshes with photographic textures – being able to create motion capture material without the black suits and silver markers. Can filmmaking be volumetric?

Some stills from this (as yet untitled) project in the project gallery.

Most of my projects this year have been experiments in rapid prototyping, or short term design / art explorations incorporating new skillsets and software/hardware. Here are a few of my favorite course projects thus far:

Beacon For the Hordes 

An early prototype for an interactive website, experimenting with non-linear narrative. Built with JavaScript and After Effects, for a three week project in Experimental Animation.   Created in collaboration with Gary Zhu.

Faith (Breath)

This is a portrait shot with the Edgertronic Ultra High Speed camera, at 900 fps, exploring the physicality and presence of my portrait subject. I wanted to play with a portrait that could appear to almost be still, yet reveal itself over time to be living and breathing.

Dancing With Light

A rapid prototype for an interactive experience using OSC and a mobile device to “dance with light,” tapping into an existing API for the dynamic light installation at the Carnegie Library in Pittsburgh

Spirit Animals

Spirit Animals is a computationally generated book of dances, created with Processing 3, an open-source software for creative coding. The dances can be done solo or in groups, with or without music, and are meant for novices and professionals alike. They aim, though do not promise, to be physically possible.

The dance names were generated with a Markov Chain, with two lists containing animals and adjectives. The dances were created with an algorithm I wrote to generate the foot patterns.