Back to search

Article

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...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1d3eeea8-2808-532f-b7d9-173c13102de5
DOI
10.31234/osf.io/6zpre
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated ratersDOI 10.31234/osf.io/6zpre
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated ratersSemantic proximity
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and AI-simulated ratersSemantic proximity
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and AI-simulated ratersSemantic proximity
Automatic Scoring of Creative Problem-Solving with Large Language Models: A Comparison of Originality and Quality RatingsSemantic proximity
Divergent Semantic Integration (DSI): Extracting Creativity from Narratives with Distributional Semantic ModelingSemantic proximity
Leveraging Natural Language Processing for the Computational Generation of Creative WritingSemantic proximity
Natural Language Processing in Computational Creativity: A Systematic ReviewSemantic proximity
AI is Misled by GenAI: Stylistic Bias in Automated Assessment of Creativity in Large Language ModelsSemantic proximity
The Roles of Idea Generation and Elaboration in Human-AI Collaborative CreativitySemantic proximity
The Roles of Idea Generation and Elaboration in Human-AI Collaborative CreativitySemantic proximity
The Roles of Idea Generation and Elaboration in Human-AI Collaborative CreativitySemantic proximity
Automated Creativity Assessment: A Review of Methods, Challenges, and Future ProspectsSemantic proximity
Select a neighboring publication to make it the new centre.