# Exploring Crowd Co-creation Scenarios for Sketches

arXiv: https://arxiv.org/abs/2005.07328 · HTML: https://mlsanity.com/paper/2005.07328/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 May 2020.

## Built on by (most cited first, 1 of 1)

- [Toward Modeling Creative Processes for Algorithmic Painting](https://mlsanity.com/paper/2205.01605/) (2022)

## Abstract (arXiv)

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.