Abstract

How can we shape data so that it helps us as designers. How can seemingly random noise evoke emotions and look nice? Apparently designers can guide data to take pleasing shapes. I will elaborate in this paper on how to look at data, strategies to process it and why live interaction can be key to better understand what the data means. We will also look at how designers can make use of data processing to support a creative process.

date: 2017
medium: paper, keynote

What happens if you feed random data into a deepdream cluster?

It finds odd looking shapes in it.

What can this mechanism learn us about computers? What are they good at, what can we trust them with? How can they support design processes?

In the talk I segmented the interaction processes in 4 categories based on dynamic response of proces and data.

The paper is available for download and the slides from the talk are available online