论文标题

探索人群共同创造的情况

Exploring Crowd Co-creation Scenarios for Sketches

论文作者

Parikh, Devi, Zitnick, C. Lawrence

论文摘要

作为研究人群和机器有效共同创造能力的第一步,我们探讨了几种仅由人类的合作共同创造场景。在每种情况下,目标是使用简单的Web界面创建数字草图。我们发现,多个人类迭代添加笔触的设置并对最佳添加的投票导致最高感知创造力(价值 +新颖性)的草图。缺乏协作会导致质量较高,新颖性或惊喜较低。没有投票的合作会导致新颖性,但质量低。

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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