Creativeable: Leveraging AI for Personalized Creativity Enhancement

Creativity is central to innovation and problem-solving, yet scalable training solutions remain limited. This study evaluates Creativeable, an AI-powered creativity training program that provides automated feedback and adjusts creative story writing task difficulty without human intervention. A total of 385 participants completed five rounds of creative story writing using semantically distant word prompts across four conditions: (1) feedback with adaptive difficulty (F/VL); (2) feedback with constant difficulty (F/CL); (3) no feedback with adaptive difficulty (NF/VL); (4) no feedback with constant difficulty (NF/CL). Before and after using Creativeable, participants were assessed for their creativity, via the alternative uses task, as well as undergoing a control semantic fluency task. While creativity improvements were evident across conditions, the degree of effectiveness varied. The F/CL condition led to the most notable gains, followed by the NF/CL and NF/VL conditions, while the F/VL condition exhibited comparatively smaller improvements. These findings highlight the potential of AI to democratize creativity training by offering scalable, personalized interventions, while also emphasizing the importance of balancing structured feedback with increasing task complexity to support sustained creative growth.

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Institutions

Publication Details

Journal
AI
Published
2025-10-01
DOI
https://doi.org/10.3390/ai6100247
Citations
2
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
4.24

Funders

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article

Creativeable: Leveraging AI for Personalized Creativity Enhancement

Yoed N. Kenett, Ariel Kreisberg-Nitzav
2 citations
AI
Creativity in Education and Neuroscience
4.24
article

Creativeable: Leveraging AI for Personalized Creativity Enhancement

Yoed N. Kenett, Ariel Kreisberg-Nitzav
article en
2 citations

Abstract

Creativity is central to innovation and problem-solving, yet scalable training solutions remain limited. This study evaluates Creativeable, an AI-powered creativity training program that provides automated feedback and adjusts creative story writing task difficulty without human intervention. A total of 385 participants completed five rounds of creative story writing using semantically distant word prompts across four conditions: (1) feedback with adaptive difficulty (F/VL); (2) feedback with constant difficulty (F/CL); (3) no feedback with adaptive difficulty (NF/VL); (4) no feedback with constant difficulty (NF/CL). Before and after using Creativeable, participants were assessed for their creativity, via the alternative uses task, as well as undergoing a control semantic fluency task. While creativity improvements were evident across conditions, the degree of effectiveness varied. The F/CL condition led to the most notable gains, followed by the NF/CL and NF/VL conditions, while the F/VL condition exhibited comparatively smaller improvements. These findings highlight the potential of AI to democratize creativity training by offering scalable, personalized interventions, while also emphasizing the importance of balancing structured feedback with increasing task complexity to support sustained creative growth.

AIVol. 6(10)
Technion – Israel Institute of Technology (IL)
Technion-Israel Institute of Technology
Openalex Percentile: Top 6%
Creativity in Education and Neuroscience
4.24
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