Does AI Usage Diminish Human Creativity?: How Goal Orientation Theory Moderates the Negative Effects Between AI Usage and Creative Output

This study investigates a critical and previously unexplored question: Does habitual AI adoption diminish individual creativity? If so, what are the boundary conditions that may amplify or mitigate this negative effect? A total of 77 participants were recruited to complete a creativity task, with their self-reported lay creativity, goal orientation, and habitual AI adoption assessed 1 week prior. Using a combination of self-report measures and ecologically valid creative evaluations, the findings reveal that habitual AI adoption significantly reduces creativity, even after controlling for self-reported creativity, and emotional attachment towards AI. Furthermore, goal orientation moderates this relationship: individuals with a higher learning/mastery orientation experience a greater negative impact, while those with a higher performance orientation show an attenuated negative effect. These findings apply to both the novelty and usefulness dimensions of creativity. This study makes a novel contribution by being the first to demonstrate the detrimental effects of habitual AI adoption on human creativity, contributing to the theoretical understanding of how motivational goals moderate this effect. In practice, training programs that prioritize creativity could leverage current results to design teaching materials that account for individuals’ motivational goals when AI-human interaction is present.

Authors

Institutions

Publication Details

Journal
Social Science Computer Review
Published
2025-10-18
DOI
https://doi.org/10.1177/08944393251389125
Citations
2
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
4.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does AI Usage Diminish Human Creativity?: How Goal Orientation Theory Moderates the Negative Effects Between AI Usage and Creative Output

Lisa Kwan, Yu Sheng Hung
2 citations
Social Science Computer Review
Creativity in Education and Neuroscience
4.24
article

Does AI Usage Diminish Human Creativity?: How Goal Orientation Theory Moderates the Negative Effects Between AI Usage and Creative Output

Lisa Kwan, Yu Sheng Hung
article en
2 citations

Abstract

This study investigates a critical and previously unexplored question: Does habitual AI adoption diminish individual creativity? If so, what are the boundary conditions that may amplify or mitigate this negative effect? A total of 77 participants were recruited to complete a creativity task, with their self-reported lay creativity, goal orientation, and habitual AI adoption assessed 1 week prior. Using a combination of self-report measures and ecologically valid creative evaluations, the findings reveal that habitual AI adoption significantly reduces creativity, even after controlling for self-reported creativity, and emotional attachment towards AI. Furthermore, goal orientation moderates this relationship: individuals with a higher learning/mastery orientation experience a greater negative impact, while those with a higher performance orientation show an attenuated negative effect. These findings apply to both the novelty and usefulness dimensions of creativity. This study makes a novel contribution by being the first to demonstrate the detrimental effects of habitual AI adoption on human creativity, contributing to the theoretical understanding of how motivational goals moderate this effect. In practice, training programs that prioritize creativity could leverage current results to design teaching materials that account for individuals’ motivational goals when AI-human interaction is present.

Social Science Computer Review
University of Macau (MO)
Openalex Percentile: Top 6%
Creativity in Education and Neuroscience
4.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.