Who Wants to be a Self-Driving Car?

A mixed-reality data trust fall exercise.


“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.