Joey Lee explores geographies mediated through data and computation.


Designer & Researcher.

Currently

Based in Brooklyn, NY

Working as an interaction designer, creative technologist, and educator.

Teaching

New York University | Interactive Telecommunications Program (ITP)

School of Visual Arts | Design for Social Innovation

Thinking about

Generative design & geography, machine learning, data collection systems, climate change, urban climates, open source & access, visualization, algorithmic ethics, critical mapping, & education.

Who Wants to be a Self-Driving Car?

A mixed-reality data trust fall exercise.

About

“Who Wants to be a Self-Driving Car?” is a data driven trust exercise that uses augmented reality to help people empathize with self-driving vehicle systems. I together with Benedikt Groß (DE, http://benedikt-gross.de/log/), and Raphael Reimann (DE, http://lab.moovel.com/people/raphael-reimann) from the moovel Lab, in collaboration with MESO Digital Interiors (http://meso.net/), built an unconventional driving machine that lets people use real-time, three-dimensional mapping and object recognition displayed in a virtual reality headset to navigate through space.

We used this explorative and immersive experience to draw attention to the discussions currently surrounding the future of artificial intelligence and self-driving cars. We wanted to explore what it might be like to build an empathy machine that translates the computational thinking of self-driving cars into a way that people might be able to engage with. The experience is meant to help people enter the discussion about self-driving cars, the layers of technology in them and their implications.

Project Webpage

SELFDRIVING.MOOVELLAB.COM

Credits

Concept & Idea

Concept & Photo

Video, Direction, & Production