Blinking Monkey Hat

March 17, 2014

This project is a piece of wearable technology created with Arduino and an 8×8 LED matrix by Annelie Koller and Niki Selken. In our quest to program two 8×8 LED matrixes, we wanted to create a piece of wearable tech with blinking eyes. First we thought of glasses that blinked, but after visiting the discount store, we settled on making a Sock Monkey hat with blinking eyes. Below is our first prototype.

Blinking monkey prototype 1 from niki selken on Vimeo.

Our major hurdle was getting the eyes to blink at the same time. We eventually had to add in the delays to make that work. We then embedded the Arduino and breadboard into the hat with a battery pack attached. You can check out the code on Github.

Museum Interaction Design

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DATALAND did not appear from nowhere. In 2016, Gray Area and Google presented what has been described as the first exhibition of generative AI art. That same year, Meow Wolf opened a world audiences could physically enter. Later, through Gray Area’s Experiential Space Research Lab, I explored how immersive environments could do more than entertain. They could encourage agency, critical thinking, and new relationships between people, technology, and living systems. Now Refik Anadol’s DATALAND brings those histories together through AI, environmental data, biosensing, and responsive space. The biggest shift is not simply that AI has entered the museum. The museum itself is becoming a living system. I wrote about the longer history behind this Reel, what excites me about DATALAND, and the ethical questions a responsive museum must confront. Read the full story through the link in my bio. #DATALAND #RefikAnadol #AIArt #ImmersiveArt #DigitalArt #MuseumFuture

A lot of the AI conversation right now is about what machines can create. This story is about what they might help us recover. Researchers at Santa Clara University have developed an AI Provenance Assistant to help researchers trace artworks stolen during the Nazi era—searching across fragmented historical records and surfacing connections that might otherwise take enormous amounts of time to find. The AI doesn’t decide who owns a work. Humans still have to verify the evidence. But it can help researchers find the evidence. To me, this is a much more interesting vision of AI: not replacing human expertise, but giving people new ways to navigate enormous amounts of human knowledge. And sometimes, helping recover a history someone tried to erase. Read the full NPR story at the 🔗 link in my bio. #ArtificialIntelligence #AI #ArtHistory #DigitalHumanities #CulturalHeritage