AI-Driven Inclusive Manufacturing Interfaces: Leveraging Information Technology for Cognitive Diversity in Industry 5.0

The transition to Industry 5.0 emphasizes the need for inclusive and intelligent systems in manufacturing. Traditional text-based assembly instructions can create barriers for workers with cognitive diversity, including dyslexia, by making tasks more challenging and less accessible. This study introduces an AI-driven smart manufacturing interface designed to address these challenges through an integrated approach combining computer vision techniques and natural language processing. The system provides real-time, multimodal guidance through voice, visual, and interactive instructions tailored to individual needs, effectively reducing cognitive load and enhancing task performance. Experimental results show a 22.1% reduction in assembly time and a 57.1% decrease in error rates, demonstrating the system's effectiveness in improving operational efficiency and accuracy. By leveraging innovative information technologies, the interface aligns with the human-centric principles of Industry 5.0, supporting diverse and adaptable manufacturing environments. These findings highlight the potential of smart systems to drive inclusivity and sustainability in industrial ecosystems.