Modelling Creativity: Identifying Key Components through a Corpus-Based Approach
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9471
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0162959
- Title of journal
- PLoS ONE
- Article number
- e0162959
- First page
- -
- Volume
- 11
- Issue
- 10
- ISSN
- 1932-6203
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2016
- URL
-
https://kar.kent.ac.uk/57231/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes a novel model of creativity. It is significant because it is shown to generate more detailed, useful feedback on creative applications than state-of-the-art alternatives. One of the top 1% downloaded PLoS ONE 2016 research articles, it has been used in two creative practice guides (brand design, litigation).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
