Automating creativity assessment with SemDis: An open platform for computing semantic distance
Open accessAbstract
Creativity research requires assessing the quality of ideas and products. In practice, conducting creativity research often involves asking several human raters to judge participants’ responses to creativity tasks, such as judging the novelty of ideas from the alternate uses task (AUT). Although such subjective scoring methods have proved useful, they have two inherent limitations—labor cost (raters typically code thousands of responses) and subjectivity (raters vary on their perceptions and preferences)—raising classic psychometric threats to reliability and validity. We sought to address the limitations of subjective scoring by capitalizing on recent developments in automated scoring of verbal creativity via semantic distance, a computational method that uses natural language processing to quantify the semantic relatedness of texts. In five studies, we compare the top performing semantic models (e.g., GloVe, continuous bag of words) previously shown to have the highest correspondence to human relatedness judgements. We assessed these semantic models in relation to human creativity ratings from a canonical verbal creativity task (AUT; Studies 1–3) and novelty/creativity ratings from two word association tasks (Studies 4–5). We find that a latent semantic distance factor—comprised of the common variance from five semantic models—reliably and strongly predicts human creativity and novelty ratings across a range of creativity tasks. We also replicate an established experimental effect in the creativity literature (i.e., the serial order effect) and show that semantic distance correlates with other creativity measures, demonstrating convergent validity. We provide an open platform to efficiently compute semantic distance, including tutorials and documentation ( https://osf.io/gz4fc/ ).
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Sentence embedding models whose direct predecessors have been found to agree well with human judgments of originality in creativity research are used to assess originality via semantic similarity.
“we investigate originality primarily by means of semantic similarity, using a well-performing sentence embedding model [72] whose direct predecessors [70] have been found to agree well with human judgments of originality in creativity research [6, 26].”
From Homogenization Effects of Large Language Models on Human Creative Ideation (2024) · cites this paper as [6]
Cosine similarity between aggregated word embeddings has been found to agree well with human judgments of semantic similarity.
“a metric which has been found to agree well with human judgments of semantic similarity [6, 26].”
From Homogenization Effects of Large Language Models on Human Creative Ideation (2024) · cites this paper as [6]
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Does Episodic Retrieval Contribute to Creative Writing? An Exploratory Study
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Self-citationThe Role of Semantic Associations as a Metacognitive Cue in Creative Idea Generation
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Automated Scoring of Scientific Creativity in German
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Accumulating evidence for myriad alternatives: Modeling the generation of free association.
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Automatic Assessment of Mathematical Creativity using Natural Language Processing
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Self-citationVarieties of inner speech and creative potential
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Work in Progress: Assessing Creativity of Alternative Uses Task Responses: A Detailed Procedure
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- Authors
- Beaty, R. E., & Johnson, D. R.
- Affiliations
- Pennsylvania State University (US)
- Washington and Lee University (US)
- Corresponding author
- Beaty, Roger E.
- Johnson, Dan R.
- Venue
- Behavior Research Methods
- Published
- 2020-08-31
- Volume
- 53
- Issue
- 2
- Pages
- 757-780
- ISSN
- 1554-351X (ISSN-L)
- 1554-3528
- PMC
- PMC8062332
- OpenAlex
- W3081924543
- Cited by
- 341
- References
- 96
- Citations by year
- 2026: 57 · 2025: 66 · 2024: 79 · 2023: 58 · 2022: 54 · 2021: 23 · 2020: 4
- FWCI
- 33.62
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Behavior Research Methods (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Funders
- National Science Foundation (1920653)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Keywords
- creativity assessment, semantic distance, alternative uses task, word association task, automated grading, semantic relatedness, gloves, CBOW, serial order effects, convergent validity, open platform
- MeSH terms
- Creativity, Humans, Psychometrics, Semantics, Reproducibility of Results
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