CAN 2017 – Highlights and Favourites

As 2017 comes to a close, we take a moment to look back at the outstanding work done this year. From spectacular peformances, large scale installations, devices and tools to the new virtual spaces for artistic exploration – so many great projects are being added to the CAN archive! Here are a just few, 25 in total, that we and you enjoyed the most this year.

Who Wants to be a Self-Driving Car? – Empathising with self-driving vehicle systems

Created by Joey Lee (US), Benedikt Groß (DE), and Raphael Reimann (DE) from the moovel Lab, in collaboration with MESO Digital Interiors (DE), Who Wants to be a Self-Driving Car? is a data driven trust exercise that uses augmented reality to help people empathise with self-driving vehicle systems. The team 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.

Aerial Bold: A Planetary Search for Letterforms

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