I produced this piece for the Digital World and Image Group (DWIG) at Georgia Tech. This year, our group focused on the intersection of craft and digital interaction. Each group member interviewed and shadowed a craftsperson, finding out specific information about his or her working process, motivations, and goals. We then designed digital “interventions” that would change the artist’s process without “de-skilling.” Click here to read a complete report on the project.
The craftsperson I collaborated with, Laura Meyers, is a talented nature photographer and weaver. She’s also a formally trained artist and uses those skills when choosing colors and patterns for her weaving. She approaches the craft very much like a painter. Augmented Weaving connects her photography and weaving.
Here’s how it works:
One of Laura’s photos is opened in a Processing sketch (Processing is a Java-based language). When the interactor clicks on a pixel in the image, the RGB (red, green, blue) color data is calculated and run through an algorithm to determine whether it’s primarily red, green, or blue, or a combination.
Processing sends this information to an Arduino attached to the loom. The Arduino is connected to a set of servos. Each servo lifts up red, green, or blue strings when the corresponding signal is received from Processing. When the interactor clicks on a green pixel in the photograph, the servo connected to the green strings raises its arm, creating a variation in the color and texture of the pattern in the woven cloth.