Explainable AI-assisted creative system for visual communication design: based on diffusion models and user intent understanding

Key Points

• This research aims to enhance visual communication design using an explainable AI system that understands user intent.
• Utilized diffusion models for image generation based on user intent.
• Designed tests to evaluate the effectiveness of AI-assisted design processes.
• Analyzed user feedback and design quality outcomes.
• Improved design satisfaction scores by 25% among users utilizing the AI system.
• Achieved a 15% faster design process with AI assistance compared to traditional methods.
• Demonstrated a 30% increase in user engagement in designs generated by the AI.

Abstract