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.
@article{arxiv.2005.07328,
title = {Exploring Crowd Co-creation Scenarios for Sketches},
author = {Devi Parikh and C. Lawrence Zitnick},
journal= {arXiv preprint arXiv:2005.07328},
year = {2020}
}