Exploring Crowd Co-creation Scenarios for Sketches
This work addresses the problem of optimizing collaborative creativity in digital sketching for researchers and designers, but it is incremental as it focuses on human-only scenarios as a preliminary step.
The study explored human-only collaborative co-creation scenarios for digital sketches, finding that iterative addition of strokes with voting produced the highest perceived creativity, while lack of collaboration led to lower novelty and higher quality variance.
As a first step towards studying the ability of human crowds and machines to effectively co-create, we explore several human-only collaborative co-creation scenarios. The goal in each scenario is to create a digital sketch using a simple web interface. We find that settings in which multiple humans iteratively add strokes and vote on the best additions result in the sketches with highest perceived creativity (value + novelty). Lack of collaboration leads to a higher variance in quality and lower novelty or surprise. Collaboration without voting leads to high novelty but low quality.