Evolvable Human-Plant Visuals, 2019

Humans used their bodies to connect aluminum with plants and thereby generate a unique visualization. Each plant started with its own population of randomly generated visualizations that evolved depending on the length of the human-plant interactions. I modeled shape properties using “gene” objects which were randomly initialized for each of five different species of plant. The more people interacted with a plant, the more likely it would be for its “visual genes” to pass on to the next generation of visualizations. 

I collaborated with my partner Sam Rector who practices therapeutic horticulture. Together we selected plants such as soft-to-the-touch Lamb’s Ear and pleasant-smelling Lemon Verbena in an attempt to harvest a positive relationship between humans and plants. The aluminum component was the result of overcoming a constraint imposed by my available hardware. The aluminum served as both medium and indirection in this relationship between humans and plants.