Unknown

Dataset Information

Automating creativity assessment with SemDis: An open platform for computing semantic distance.


ABSTRACT: 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

SUBMITTER: Beaty RE 

PROVIDER: S-EPMC8062332 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature