AI-DRIVEN ANIMATION SYSTEMS FOR EFFICIENT AND SCALABLE PRODUCTION:PROTOTYPE STUDY AND USER EVALUATION
Keywords:
AI-generated animation, user-centered design, generative models, democratization of content creationAbstract
his study presents the design, development, and evaluation of an end-to-end AI-based animation production system aimed at democratizing animation creation for non-expert users. The system integrates state-of-the-art generative technologies, including large language models (LLMs), diffusion-based visual synthesis, motion generation architectures, and text-to-speech dubbing modules. A user-friendly interface combining natural language input, wizard-based workflows, and drag-and-drop elements was implemented to facilitate accessibility. To assess usability, a mixed-method user study involving 25 non-technical participants, such as educators, content creators, and small business owners, was conducted. Results indicate a significant reduction in production time, from hundreds of hours in traditional pipelines to 25 -40 hours for 30-second animations, while maintaining acceptable levels of visual quality and motion naturalness. Quantitative metrics (System Usability Scale) and qualitative interviews confirmed high levels of user satisfaction and creative engagement, although challenges remain regarding prompt engineering and dataset bias. The findings highlight the system’s potential in enabling broader access to animation tools, particularly in educational and digital storytelling contexts. Recommendations for future work include enhancing realtime interactivity, expanding customization options, and optimizing local deployment to support broader adoption and sustained use.
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