.png){kind=icon}
.png){kind=icon}
Return
Artificial Intelligence Assisted Creativity: Conceptualization, Instrument Development and Validation
.png){kind=icon}
PRE
AI
DOI：10.1002/jocb.70004.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Considering the pivotal role of creativity across various eras and the rapid integration of Artificial Intelligence (AI) in both creative processes and education, this study introduces and provides validity evidence for the AI-assisted Creativity Questionnaire (AICQ). This new 16-item instrument aims to quantify human creative potential in AI-assisted endeavors. Initially, a diverse cohort of 322 university students in Taiwan completed the AICQ from November to December 2023. Through exploratory factor analysis (EFA) of responses from this sample, three distinct factors emerged: (1) AI-assisted functional creativity (AIFC), (2) AI-assisted visual artistic creativity (AIVAC), and (3) AI-assisted ideational creativity (AIIC). One item was removed due to cross-loading. Subsequently, in September 2024, 330 university students in Taiwan engaged with both the AICQ and the 28-item Creative Behavior Inventory (CBI). Based on responses from this sample, construct validity evidence for the AICQ was examined using confirmatory factor analysis (CFA), which affirmed that a three-factor model provided a good fit to the data. Gender differences in AICQ scores were found in these subsequent data. Overall, data from participants provided evidence for the reliability as well as convergent, concurrent, and discriminant validity of the scores obtained from the AICQ.
Keywords:
AI-assisted
Artificial Intelligence
creative potential
creativity
functional creativity
ideational creativity
visual artistic creativity