Author ORCID Identifier
Hidemichi Okamoto: https://orcid.org/0000-0003-2370-6009
Abstract
This study explores the application of image and video editing Artificial Intelligence (AI) in early childhood education, with a particular focus on “image-speaking AI”. We investigated whether using AI could effectively capture children’s attention. The results showed that, under certain settings, the longest attention span was achieved when a character spoke by means of AI(*p<0.05). Rather than adding sound to a still image, using AI to move the mouth of the still image captured the children’s attention. However, the parents from the survey indicated that the realism of the mouth movements seemed unnatural and could distract the viewers from understanding the contents.
First Page
117
Last Page
126
Ethics Approval
Yes
Declaration Statement
Consent to provide data to a third party has not been obtained from the research subjects.
No funding.
No conflicts of interest.
Participation consent was obtained from all participating parents both orally and by using Google Forms.
N/A for permission to reproduce materials from other sources.
N/A for clinical trial registration
Recommended Citation
Okamoto, H., & Tachizaki, H. (2025). A study of image editing AI awareness in children: Can AI that lets still images speak capture the interest of young children?. Journal of Educational Technology Development and Exchange (JETDE), 18(2), 117-126. https://doi.org/10.18785/jetde.1801.06
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
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