Trend report: Designing failure

GlitchBot

GlitchBot is an automated image glitch creation and distribution program. Working to a fixed daily schedule. It sources images pulled from Flickr and ‘glitches’ them, before reposting on Flickr and Facebook

Design with errors in mind

Irratio

Irratio by Ingo Reinheimer is a generative program producing typography that is never repeated. Student work produced as part of the Generative Typography module at the University of Applied Sciences Mainz, led by Philip Pape and Florian Jenett.

What does this mean for graphic design ?

Glitches, failures, errors and mistakes are driving new graphic design styles. In a field where little room has been allowed for failure, more designers than ever are embracing chaos in their creative practices, and benefiting from it.

Krist Wood is a prime example of this new breed. His website Internet Archaeology looks to explore, recover, archive and showcase the graphic artefacts found within earlier internet culture. His other projects include Computer Club, a site where contributors share art made with or by computers. In a recent interview with Seen Unseen, Wood described Computers Club as “a set of identities that derive from computer users.”

The October 2011 issue of typography and graphic design magazine Slanted explored the current experimentation that is happening across graphic design. It profiled numerous projects that are incorporating so-called happy accidents into the design process, looking at works based on mistakes and inaccuracies.

Graphic designer Michael Bojkowski believes that this trend will continue to grow: “I think we’ll see a lot of emerging designers happy to display both their failures and successes as part of their ever-evolving portfolios and, as part of this, encouraging each other to be even more experimental as time goes on.”

As a designer, it can pay to make failure part of your process. If you’ve never failed twice, then ask yourself why this may be. Failing saves time and resources in the long-term, because you can learn from what doesn’t work.

Experiment in ways you may not have considered before. Build an algorithm and then relinquish control. And see errors, inaccuracies and mistakes as new design opportunities, and the gateway to new ideas.

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