Human–AI Hybrid Models Towards Cognitive Manufacturing and Service Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 626
Special Issue Editors
Interests: industrial intelligence; cyber-physical systems; deep learning; human-centric assessment
Interests: digital twins; engineering product lifecycle management; knowledge graphs; human-robot collaboration; smart manufacturing; resilient supply chains
Interests: human-AI collaboration; human factors; affective computing
Special Issue Information
Dear Colleagues,
Nowadays, the rapid advancements and widespread implementations of artificial intelligence (AI), digital twins (DTs), robotics, and human–machine interaction (HMI) have brought about remarkable transformations in the manufacturing and service industries, reshaping how humans and machines collaborate to achieve superior performance. As we move into the era of Industry 5.0, the synergy between human intelligence and AI is becoming pivotal in terms of creating systems with higher cognitive intelligence that are more efficient, adaptive, and human-centric. To pave the way toward this future, in-depth investigations should be conducted from the human and AI aspects, facilitating their seamless integration and collaboration to realize optimized decision-making, enhanced productivity, and improved user experiences.
This Special Issue invites contributions that explore innovative human–AI hybrid models, methodologies, frameworks, applications, and reviews to advance cognitive manufacturing and service systems. We aim to provide a platform for researchers, practitioners, and industry experts to share insights on how such hybrid systems can address the growing complexity of modern manufacturing and service operations while ensuring ethical, sustainable, and human-focused outcomes. Research topics may include (but are not limited to) the following:
- Frameworks for human-AI collaboration;
- Cognitive models in hybrid intelligent systems;
- Trustworthy and interpretable methods for manufacturing and service systems;
- Human-centric systems design;
- Innovative design of HMI;
- Human factor engineering and ergonomics studies;
- Human-robot collaboration;
- Human-AI-assisted DT applications;
- Cognitive DTs and human DTs;
- Human-in-the-loop service design;
- User experience studies;
- AI-driven decision-making;
- Case studies in manufacturing and service systems.
We look forward to receiving your contributions.
Dr. Bufan Liu
Dr. Kendrik Yan Hong Lim
Dr. Ziqing Xia
Dr. Meng-Hsueh Hsieh
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- human intelligence
- cognitive models
- human-AI hybrids
- digital twins
- robotics
- human-centric methods
- intelligent cognitive manufacturing and service
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