Exploring Crowd Co-creation Scenarios for Sketches
May 15, 2020 Β· Declared Dead Β· π ICCC
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Authors
Devi Parikh, C. Lawrence Zitnick
arXiv ID
2005.07328
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC
Citations
8
Venue
ICCC
Last Checked
4 months ago
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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