Exploring Crowd Co-creation Scenarios for Sketches

• URL: http://arxiv.org/abs/2005.07328v2
• Date: Fri, 22 May 2020 02:12:21 GMT
• Title: Exploring Crowd Co-creation Scenarios for Sketches
• Authors: Devi Parikh and C. Lawrence Zitnick
• Abstract summary: We study 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.
• Score: 49.578304437046384
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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