Characteristics of pro-c analogies and blends between research publications
Authors: Abgaz, Y., O'Donoghue, D.P., Hurley, D., Chaudhry, E. and Zhang, J.J.
Journal: Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017
ISBN: 9780692895641
Abstract:Dr Inventor is a tool that aims to enhance the professional (Pro-c) creativity of researchers by suggesting novel hypotheses, arising from analogies between publications. Dr Inventor processes original research documents using a combination of lexical analysis and cognitive computation to identify novel comparisons that suggest new research hypotheses, with the objective of supporting a novel research publication. Research on analogical reasoning strongly suggests that the value of analogy-based comparisons depends primarily on the strength of the mapping (or counterpart projection) between the two analogs. An evaluation study of a number of computer generated comparisons attracted creativity ratings from a group of practicing researchers. This paper explores a variety of theoretically motivated metrics operating on different conceptual spaces, identifying some weak associations with users' creativity ratings. Surprisingly, our results show that metrics focused on the mapping appear to have less relevance to creativity than metrics assessing the inferences (blended space). This paper includes a brief description of a research project currently exploring the best research hypothesis generated during this evaluation. Finally, we explore PCA as a means of specifying a combined multiple metric to detect comparisons to enhance researchers' creativity.
https://eprints.bournemouth.ac.uk/29847/
Source: Scopus
Characteristics of Pro-c Analogies and Blends between Research Publications
Authors: Abgaz, Y., O'Donoghue, D.P., Hurley, D., Chaudhry, E. and Zhang, J.J.
Conference: the Eighth International Conference on Computational Creativity, ICCC 2017
Dates: 19 June-23 October 2017
Abstract:Dr Inventor is a tool that aims to enhance the professional (Pro-c) creativity of researchers by suggesting novel hypotheses, arising from analogies between publications. Dr Inventor processes original research documents using a combination of lexical analysis and cognitive computation to identify novel comparisons that suggest new research hypotheses, with the objective of supporting a novel research publication. Research on analogical reasoning strongly suggests that the value of analogy-based comparisons depends primarily on the strength of the mapping (or counterpart projection) between the two analogs. An evaluation study of a number of computer generated comparisons attracted creativity ratings from a group of practising researchers. This paper explores a variety of theoretically motivated metrics operating on different conceptual spaces, identifying some weak associations with user's creativity ratings. Surprisingly, our results show that metrics focused on the mapping appear to have less relevance to creativity than metrics assessing the inferences (blended space). This paper includes a brief description of a research project currently exploring the best research hypothesis generated during this evaluation. Finally, we explore PCA as a means of specifying a combined multiple metrics from several blending spaces as a basis for detecting comparisons to enhance researchers’ creativity.
https://eprints.bournemouth.ac.uk/29847/
Source: Manual
Characteristics of Pro-c Analogies and Blends between Research Publications
Authors: Abgaz, Y., Chaudhry, E., O’Donoghue, D.P., Hurley, D. and Zhang, J.J.
Conference: Eighth International Conference on Computational Creativity, ICCC 2017
Abstract:Dr Inventor is a tool that aims to enhance the professional (Pro-c) creativity of researchers by suggesting novel hypotheses, arising from analogies between publications. Dr Inventor processes original research documents using a combination of lexical analysis and cognitive computation to identify novel comparisons that suggest new research hypotheses, with the objective of supporting a novel research publication. Research on analogical reasoning strongly suggests that the value of analogy-based comparisons depends primarily on the strength of the mapping (or counterpart projection) between the two analogs. An evaluation study of a number of computer generated comparisons attracted creativity ratings from a group of practising researchers. This paper explores a variety of theoretically motivated metrics operating on different conceptual spaces, identifying some weak associations with user's creativity ratings. Surprisingly, our results show that metrics focused on the mapping appear to have less relevance to creativity than metrics assessing the inferences (blended space). This paper includes a brief description of a research project currently exploring the best research hypothesis generated during this evaluation. Finally, we explore PCA as a means of specifying a combined multiple metrics from several blending spaces as a basis for detecting comparisons to enhance researchers’ creativity.
https://eprints.bournemouth.ac.uk/29847/
http://computationalcreativity.net/iccc2017/schedule/
Source: BURO EPrints