Automated Creativity Assessment: A Review of Methods, Challenges, and Future Prospects

Abstract excerpt

<p>Creativity assessment has historically relied on human raters to judge the quality of ideas and products. However, this approach is exceptionally costly due to the limited number of experts, the time and resources required for training them, and the high task burden. To overcome these barriers and expedite creativity research, computational automation of creativity assessment has been explored. We provide an ov...

Topics

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• Artificial Intelligence
• Communication
• Intelligence
• Language
• Phenotype

Identifiers and source

Literature Corpus work

73c76ad6-7868-5fd3-b9ee-686aa52e3703

DOI

10.31234/osf.io/hvx2n_v2