Integrating Human Factors and AI: Driving the Transition to Industry 5.0 and Society 5.0

Dear Colleagues,

Industry 5.0 and Society 5.0 represent the next wave of technological advancements, emphasizing human-centric approaches and the seamless integration of artificial intelligence (AI) into various aspects of industry and society. This Topic calls for original research articles and reviews presenting cutting-edge theories and practices at the intersection of human factors and AI collaboration, addressing the challenges and opportunities in creating a more sustainable, inclusive, and intelligent future. Research areas may include (but are not limited to) the following:

1. Human Factors in AI Integration

• Human–AI Interaction: Design principles, user experience, and cognitive aspects of human–AI collaboration and advanced applications of large language model-driven human–AI interaction.
• Ethical Considerations: Privacy, trust, and ethical frameworks for AI applications in Industry 5.0 and Society 5.0.
• Human-Centric AI: Ensuring AI systems are designed to enhance human capabilities and well-being.

2. AI Applications in Industry 5.0

• Smart Manufacturing: AI-driven automation, predictive maintenance, and quality control.
• Supply Chain Optimization: AI for logistics, inventory management, and supply chain resilience.
• Customer service Optimization: AI tools for internal customer training, skill development, and job redesign; AI tools for external customer response and service failure recovery.

3. AI Applications in Society 5.0

• Smart Cities: Leveraging AI for advanced urban planning, intelligent transportation systems, and environmental sustainability initiatives.
• Healthcare: Utilizing AI in diagnostics, personalized medicine, patient care, and urban restorative design to enhance daily healthcare for citizens.
• Education: Implementing AI-driven learning systems, adaptive educational technologies, and promoting lifelong learning.

4. Cross-Disciplinary Approaches

• Collaborative Systems: Multi-agent systems, human–robot collaboration, EEG, eye tracking or advanced immersive systems on industrial contexts, and swarm intelligence.
• Innovation and Entrepreneurship: Case studies of successful AI startups and innovation ecosystems.
• Public Policy and Governance: Regulatory frameworks, standards, and international cooperation for AI.

We look forward to receiving your contributions.

Dr. Ching-Hung Lee
Prof. Dr. Yee Mey Goh
Dr. Yu-Chi Lee
Topic Editors