Leveraging Artificial Intelligence Tools in Digital Media Development to Lower Development Barriers

Gejian Zhu

2025

Abstract

With the widespread adoption of artificial intelligence (AI) tools in digital media creation, whether AI tools have lowered the technical barrier for non-professionals is worth questioning. Taking open source AI platforms ml5.js and Ready Player Me as examples, this study examines whether non-programming users can independently achieve interactive media effects, such as gesture recognition and virtual character control, without conventional programming skills. Experimental observations on two design students were used to assess task completion, perceived usability of the tools, and understanding of system logic. The experimental results show that although participants finished the task successfully, their knowledge of the internal operation of the tool was comparatively more limited. This study suggests that the AI platform significantly lowers the threshold for development at the operational level but does not fully compensate for the gap in users' perception of the system. This study provides a practical reference for creative technology education and AI tool development and points out the possible risk of "black box usage".

Paper Citation

in Harvard Style

Zhu G. (2025). Leveraging Artificial Intelligence Tools in Digital Media Development to Lower Development Barriers. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 556-564. DOI: 10.5220/0014362800004718

in Bibtex Style

@conference{emiti25,
author={Gejian Zhu},
title={Leveraging Artificial Intelligence Tools in Digital Media Development to Lower Development Barriers},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={556-564},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014362800004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Leveraging Artificial Intelligence Tools in Digital Media Development to Lower Development Barriers
SN - 978-989-758-792-4
AU - Zhu G.
PY - 2025
SP - 556
EP - 564
DO - 10.5220/0014362800004718
PB - SciTePress