Toward the Development of a Computer-Assisted, Real-Time Assessment of Ideational Dynamics in Collaborative Creative Groups
Title: | Toward the Development of a Computer-Assisted, Real-Time Assessment of Ideational Dynamics in Collaborative Creative Groups |
---|---|
Language: | English |
Authors: | Kenworthy, Jared B. (ORCID |
Source: | Creativity Research Journal. 2023 35(3):396-411. |
Availability: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
Peer Reviewed: | Y |
Page Count: | 16 |
Publication Date: | 2023 |
Sponsoring Agency: | US Army Research Office (ARO) |
Contract Number: | W911NF2010213 |
Document Type: | Journal Articles Reports - Research |
Descriptors: | Computer Science, Psychology, Researchers, Natural Language Processing, Cooperation, Creativity, Feedback (Response), Algorithms, Visual Aids, Concept Mapping, Brainstorming, Group Discussion |
DOI: | 10.1080/10400419.2022.2157589 |
ISSN: | 1040-0419 1532-6934 |
Abstract: | We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine the trajectory of semantic space used during group idea generation sessions. Specifically, we track and estimate the region of semantic space being used and the degree to which new ideas expand that space. We present a visualization of this space mapping endeavor and compare human ratings of creativity dimensions (i.e., novelty, task-relevance, and elaboration) to algorithm-based estimations of those same dimensions. The semantic space mapping and algorithm development projects can be used to deliver real-time feedback to human creative groups in order to optimize the collaborative creativity process. The overall goal of this research is to increase the "survival" of novel ideas and their elaboration in the collaborative ideation and subsequent decision processes. |
Abstractor: | As Provided |
Entry Date: | 2023 |
Accession Number: | EJ1397001 |
Database: | ERIC |
Full text is not displayed to guests. | Login for full access. |
ISSN: | 1040-0419 1532-6934 |
---|---|
DOI: | 10.1080/10400419.2022.2157589 |
Published in: | Creativity Research Journal |
Language: | English |