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Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters

2024-11-30

Abstract excerpt

<p>Creativity is a fundamental skill of human cognition. We use textual forma mentis networks (TFMN) to extract network (semantic/syntactic associations) and emotional features from approximately one thousand human- and GPT3.5-generated stories. Using Explainable Artificial Intelligence (XAI) we test whether features relative to Mednick’s associative theory of creativity can explain creativity ratings assigned by...

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Literature Corpus work
73f00d61-147f-50df-9a15-805e9f63753b
DOI
10.31234/osf.io/6zpre_v1
Open publication

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Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated ratersDOI 10.31234/osf.io/6zpre_v1
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