Major

Neuroscience

Anticipated Graduation Year

2022

Access Type

Open Access

Abstract

For the last 70 years, divergent thinking tasks have been important for measuring the creative process. Raters typically show high levels of interrater reliability; however, the task can be onerous. We compare alternative methods from human rating. Specifically, we recruited human raters from Amazon’s Mechanical Turk and the Loyola Psychology Subject Pool with two different sampling methods (i.e., Top 2 and Snap Shot) In addition, we will use SemDist, a computer algorithm that operationalizes creativity based on semantic distance. Measures from these three methods will be compared for data from approximately four hundred study participants.

Community Partners

Georgetown, Pennsylvania State University

Faculty Mentors & Instructors

Robert Morrison, PhD, Associate Professor, Neuroscience, Undergraduate Program Director

Streaming Media

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

COinS
 

Evaluation of Statistical and Machine Learning Approaches to Evaluating Creativity in the Alternatives Uses Task

For the last 70 years, divergent thinking tasks have been important for measuring the creative process. Raters typically show high levels of interrater reliability; however, the task can be onerous. We compare alternative methods from human rating. Specifically, we recruited human raters from Amazon’s Mechanical Turk and the Loyola Psychology Subject Pool with two different sampling methods (i.e., Top 2 and Snap Shot) In addition, we will use SemDist, a computer algorithm that operationalizes creativity based on semantic distance. Measures from these three methods will be compared for data from approximately four hundred study participants.