For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
34
views
3
references
 Top references
cited by
6
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      160
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Modelling Creativity: Identifying Key Components through a Corpus-Based Approach

      research-article
      Author(s): 1 , * , 2 , *
      Editor(s):
      Publication date (Electronic):
      Journal: PLoS ONE
      Publisher: Public Library of Science

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Creativity is a complex, multi-faceted concept encompassing a variety of related aspects, abilities, properties and behaviours. If we wish to study creativity scientifically, then a tractable and well-articulated model of creativity is required. Such a model would be of great value to researchers investigating the nature of creativity and in particular, those concerned with the evaluation of creative practice. This paper describes a unique approach to developing a suitable model of how creative behaviour emerges that is based on the words people use to describe the concept. Using techniques from the field of statistical natural language processing, we identify a collection of fourteen key components of creativity through an analysis of a corpus of academic papers on the topic. Words are identified which appear significantly often in connection with discussions of the concept. Using a measure of lexical similarity to help cluster these words, a number of distinct themes emerge, which collectively contribute to a comprehensive and multi-perspective model of creativity. The components provide an ontology of creativity: a set of building blocks which can be used to model creative practice in a variety of domains. The components have been employed in two case studies to evaluate the creativity of computational systems and have proven useful in articulating achievements of this work and directions for further research.

          Related collections

          Most cited references3

          • Record: found
          • Abstract: found
          • Article: not found

          Creativity.

          Beth A. Hennessey, Teresa Amabile (2010)
          The psychological study of creativity is essential to human progress. If strides are to be made in the sciences, humanities, and arts, we must arrive at a far more detailed understanding of the creative process, its antecedents, and its inhibitors. This review, encompassing most subspecialties in the study of creativity and focusing on twenty-first-century literature, reveals both a growing interest in creativity among psychologists and a growing fragmentation in the field. To be sure, research into the psychology of creativity has grown theoretically and methodologically sophisticated, and researchers have made important contributions from an ever-expanding variety of disciplines. But this expansion has not come without a price. Investigators in one subfield often seem unaware of advances in another. Deeper understanding requires more interdisciplinary research, based on a systems view of creativity that recognizes a variety of interrelated forces operating at multiple levels.
          Article 0 comments Cited 262 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A review of EEG, ERP, and neuroimaging studies of creativity and insight.

            Arne Dietrich, Riam Kanso (2010)
            Creativity is a cornerstone of what makes us human, yet the neural mechanisms underlying creative thinking are poorly understood. A recent surge of interest into the neural underpinnings of creative behavior has produced a banquet of data that is tantalizing but, considered as a whole, deeply self-contradictory. We review the emerging literature and take stock of several long-standing theories and widely held beliefs about creativity. A total of 72 experiments, reported in 63 articles, make up the core of the review. They broadly fall into 3 categories: divergent thinking, artistic creativity, and insight. Electroencephalographic studies of divergent thinking yield highly variegated results. Neuroimaging studies of this paradigm also indicate no reliable changes above and beyond diffuse prefrontal activation. These findings call into question the usefulness of the divergent thinking construct in the search for the neural basis of creativity. A similarly inconclusive picture emerges for studies of artistic performance, except that this paradigm also often yields activation of motor and temporoparietal regions. Neuroelectric and imaging studies of insight are more consistent, reflecting changes in anterior cingulate cortex and prefrontal areas. Taken together, creative thinking does not appear to critically depend on any single mental process or brain region, and it is not especially associated with right brains, defocused attention, low arousal, or alpha synchronization, as sometimes hypothesized. To make creativity tractable in the brain, it must be further subdivided into different types that can be meaningfully associated with specific neurocognitive processes.
            Article 0 comments Cited 217 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Creativity.

              J P Guilford (1950)
              Article 0 comments Cited 108 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Peter Csermely: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date Collection: 2016
                Publication date (Electronic): 5 October 2016
                Volume: 11
                Issue: 10
                Electronic Location Identifier: e0162959
                Affiliations
                [1 ]School of Computing, University of Kent, Chatham Maritime, Kent, United Kingdom
                [2 ]Department of Informatics, University of Sussex, Falmer, Brighton, United Kingdom
                Semmelweis University, HUNGARY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: AJ.

                • Data curation: AJ BK.

                • Formal analysis: AJ BK.

                • Investigation: AJ BK.

                • Methodology: AJ BK.

                • Project administration: AJ BK.

                • Resources: AJ BK.

                • Software: AJ BK.

                • Supervision: AJ BK.

                • Validation: AJ BK.

                • Visualization: AJ BK.

                • Writing – original draft: AJ BK.

                • Writing – review & editing: AJ BK.

                Author information
                http://orcid.org/0000-0003-2076-8642
                Article
                Publisher ID: PONE-D-16-09839
                DOI: 10.1371/journal.pone.0162959
                PMC ID: 5051932
                PubMed ID: 27706185
                SO-VID: 7cb7e2e6-7501-46dd-8690-56e8e760cccc
                Copyright © © 2016 Jordanous, Keller
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 8 March 2016
                Date accepted : 31 August 2016
                Page count
                Figures: 8, Tables: 1, Pages: 27
                Funding
                The author(s) received no specific funding for this work. Anna Jordanous undertook part of this work during her PhD, which was part-funded by a stipend provided by the School of Informatics, University of Sussex.
                Categories
                Subject: Research Article
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Cognitive Science
                Subject: Cognitive Psychology
                Subject: Creativity
                Subject: Biology and Life Sciences
                Subject: Psychology
                Subject: Cognitive Psychology
                Subject: Creativity
                Subject: Social Sciences
                Subject: Psychology
                Subject: Cognitive Psychology
                Subject: Creativity
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Cognitive Science
                Subject: Cognitive Psychology
                Subject: Language
                Subject: Biology and Life Sciences
                Subject: Psychology
                Subject: Cognitive Psychology
                Subject: Language
                Subject: Social Sciences
                Subject: Psychology
                Subject: Cognitive Psychology
                Subject: Language
                Subject: Social Sciences
                Subject: Linguistics
                Subject: Semantics
                Subject: Research and Analysis Methods
                Subject: Database and Informatics Methods
                Subject: Database Searching
                Subject: Biology and Life Sciences
                Subject: Behavior
                Subject: Computer and Information Sciences
                Subject: Information Technology
                Subject: Natural Language Processing
                Subject: Social Sciences
                Subject: Sociology
                Subject: Communications
                Subject: Social Communication
                Subject: Physical Sciences
                Subject: Mathematics
                Subject: Discrete Mathematics
                Subject: Computational Systems
                Custom metadata
                Data Availability 90 academic publications dated 1950-2009 are analysed as part of this work. All of these articles were accessed via Scopus searches, through academic publishers. A full list of these publications is given in Jordanous’s thesis and the creativity corpus publications are listed in this article, in Fig 1. All data produced during analysis from the texts of these publications are available via Open Science Framework ( https://osf.io/nqr76/). In particular, this includes the lexical data for both corpora, with frequencies, the similarity data scores that we produced during analysis, and the 694 ‘creativity words’. Data from the British National Corpus (BNC) was used during analysis. The BNC data is available from http://www.natcorp.ox.ac.uk/ The results data generated during analysis (the 694 key words for creativity and the 14 key components of creativity) are openly available online in the form of an ontology (also submitted as a Supporting Information file), published under the URL http://purl.org/creativity/ontology. As also stated in the paper, these data are made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/. These data are also available in the PhD thesis of Anna Jordanous (2012), which is openly available via the University of Sussex library ( http://sro.sussex.ac.uk/44741/) or via the University of Kent’s Academic Repository ( https://kar.kent.ac.uk/42388/1/Jordanous%252C_Anna_Katerina.pdf). The creativity Semantic Web ontology links to data from the Wordnet lexical database ( http://wordnet-rdf.princeton.edu/), via the openly available data published at http://wordnet.rkbexplorer.com/.

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

                Comments

                Comment on this article

                scite_

                Similar content160

                See all similar

                Cited by5

                See all cited by

                Most referenced authors104

                See all reference authors