A Feasibility Study on Integrating Artificial Intelligence into Animate CC Online to Enhance Designer’s Creativity
DOI:
https://doi.org/10.53840/myjict10-2-198Keywords:
AI in animation, AI integration, Designer’s creativity, Adobe Animate CC OnlineAbstract
Adobe Animate CC is renowned for its robust feature set and versatility, facilitating the creation of high-quality animations through powerful drawing, tweening, and scripting tools. However, challenges in real-time rendering, resource-intensive processes, and limited interactivity hinder its effectiveness in online applications. Despite these hurdles, Adobe Animate CC remains relevant due to its ability to produce versatile, high-quality animations compatible across various platforms and its seamless integration with other Adobe Creative Cloud applications. The objective of this study is to investigate how AI technologies can augment Adobe Animate CC Online to overcome these challenges and enhance designer creativity. The method involves conducting a structured review of existing literature and relevant case studies on AI integration in animation tools to gain insights into potential benefits, challenges, and best practices. The results indicate that integrating AI into Adobe Animate CC Online holds promise for significantly improving animation quality, streamlining workflow processes, and unlocking new creative possibilities. Despite identified challenges such as real-time rendering limitations and scalability issues, the benefits of AI integration outweigh these obstacles. Overall, this study suggests that integrating AI into Adobe Animate CC Online has the potential to revolutionize the animation industry, fostering increased productivity, innovation, and competitiveness among animators and animation studios
Downloads
References
Adobe Animate CC. (2024). Adobe Systems Incorporated. https://www.adobe.com/products/animate.html
Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., Iqbal, S., Bennett, P. N., Inkpen, K., Teevan, J., Kikin-Gil, R., & Horvitz, E. (2019).
Guidelines for Human–AI Interaction.
Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’19).
https://doi.org/10.1145/3290605.3300233
Cotroneo, P., & Hutson, J. (2023). Generative AI tools in art education: Exploring prompt engineering and iterative processes for enhanced creativity. Metaverse, 4(1), 14. https://doi.org/10.54517/m.v4i1.2164
Elfa, M. a. A., & Dawood, M. E. T. (2023b). Using Artificial Intelligence for enhancing Human Creativity. Journal of Art, Design, and Music, 2(2). https://doi.org/10.55554/2785-9649.1017
Grech, A., Mehnen, J., & Wodehouse, A. (2023). An extended AI-Experience: Industry 5.0 in Creative Product innovation. Sensors, 23(6), 3009. https://doi.org/10.3390/s23063009
Hutson, J., & Lang, M. (2023). Content creation or interpolation: AI generative digital art in the classroom. Metaverse, 4(1), 13. https://doi.org/10.54517/m.v4i1.2158
Kim, J., & Maher, M. L. (2023). The effect of AI-based inspiration on human design ideation. International Journal of Design Creativity and Innovation, 11(2), 81–
98. https://doi.org/10.1080/21650349.2023.2167124
Lee, R. (2015). Welcome Adobe Animate CC, a new era for Flash Professional. https://blog.adobe.com/en/publish/2015/11/30/welcome-adobe-animate-cc-a-new-era-for-flash-professional
Rezwana, J. & Maher, M. L., 2023. Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems. ACM Trans. Comput.-Hum. Interact. 30, 5, Article 67(September 2023), 28 pages
Rezwana, J., & Maher, M. L. (2022). Identifying ethical issues in AI partners in Human-AI Co- Creation. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2204.07644
Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
Vinchon, F., Lubart, T., Bartolotta, S., Gironnay, V., Botella, M., Bourgeois-Bougrine, S., Burkhardt, J., Bonnardel, N., Corazza, G. E., Glăveanu, V., Hanson, M. H., Ivcevic, Z., Karwowski, M., Kaufman, J. C., Okada, T., Reiter‐Palmon, R., & Gaggioli, A. (2023). Artificial Intelligence & Creativity: A Manifesto for Collaboration. Journal of Creative Behavior, 57(4), 472–484. https://doi.org/10.1002/jocb.597
Williams, R. (2001). The Animator's Survival Kit. Faber & Faber.
Zhang, X., Mao, X., Yin, Y., Chai, C., & Zhang, T. (2022). Melting Your Models: An Integrated AI-based Creativity Support Tool for Inspiration Evolution. International Symposium on Computational Intelligence and Design. https://doi.org/10.1109/iscid56505.2022.00029
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Malaysian Journal of Information and Communication Technology (MyJICT)

This work is licensed under a Creative Commons Attribution 4.0 International License.
