Artificial Intelligence-Assisted Creation and Expression in Digital Media Art: A Human-AI Collaborative Framework for Dynamic Visuals and Interactive Design

DOI

10.2991/978-94-6239-737-8_49How to use a DOI?

Keywords

Digital Media Art; AI-Assisted Creation; Dynamic Visuals; Human-AI Collaboration; Interaction Design; Motion Graphics

Abstract

To address the limitations of current AI-generated content (AIGC) tools in digital media art creation—particularly the lack of temporal coherence, low interactivity fidelity, and insufficient support for dynamic expression—this paper proposes a human-AI collaborative framework for digital media art creation and presentation. First, spatiotemporal-visual features are extracted from motion graphics and user interaction sequences to construct an interactive behavior prediction model. Second, mapping rules between AI-generated dynamic clips and editable layers in digital media software (e.g., After Effects, Touch-Designer) are established, and a combination of a Deep Q-Network (DQN) and a conditional diffusion model (CDM) is used to generate optimized dynamic visual sequences and interactive responses. Finally, a three-stage workflow of “AI generation + software refinement + artist interaction tuning” is formed. Experimental results show that the proposed method significantly outperforms pure AI generation and pure manual creation in terms of temporal coherence, interaction flexibility, and overall user satisfaction, providing an efficient and expressive solution for AI-assisted digital media art.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Weijing Zhong
AU  - Jiufang Mei
AU  - Ling Jin
AU  - Yingfei Jia
AU  - Wei Song
PY  - 2026
DA  - 2026/08/18
TI  - Artificial Intelligence-Assisted Creation and Expression in Digital Media Art: A Human-AI Collaborative Framework for Dynamic Visuals and Interactive Design
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 404
EP  - 409
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_49
DO  - 10.2991/978-94-6239-737-8_49
ID  - Zhong2026
ER  -