Advanced Human–Computer Interaction and Brain–Computer Interface in Industrial 4.0 Era
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 March 2026 | Viewed by 57
Special Issue Editors
Interests: robotics; IoT; human computer interaction; machine learning; Internet of Things
Special Issue Information
Dear Colleagues,
The continuous advancement of Industry 4.0 technologies has reshaped how humans interact with machines, systems, and our surrounding environment. As digital transformation accelerates, the integration of advanced human–computer interaction (HCI) techniques and brain–computer interface (BCI) systems is becoming increasingly vital in enhancing productivity, safety, and personalization in industrial settings.
This Special Issue aims to bring together cutting-edge research and practical applications that highlight novel interaction paradigms, including neuroadaptive systems, gesture and emotion-based controls, immersive interfaces (e.g., AR/VR), and real-time neural signal processing for smart manufacturing, robotics, and cyber–physical systems.
We are particularly interested in contributions that:
- Develop or apply machine learning and deep learning algorithms for HCI and BCI optimization;
- Enhance human–robot collaboration through intelligent interaction modalities;
- Improve decision-making in industrial control systems via cognitive feedback mechanisms;
- Advance sensor fusion and multimodal interaction for adaptive industrial applications.
This issue complements the current literature by focusing on cross-disciplinary approaches, where neuroscience, artificial intelligence, and embedded systems converge to redefine how humans engage with intelligent machines in operational environments. It will serve as a valuable resource for researchers, engineers, and industry professionals aiming to implement human-centric technologies in Industry 4.0 architectures.
We welcome original research articles, reviews, case studies, and conceptual frameworks that explore both theoretical and applied aspects of the topic.
Dr. Ahmet Cagdas Seckin
Dr. Fatih Soygazi
Guest Editors
Manuscript Submission Information
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Keywords
- human–computer interaction (HCI)
- brain–computer interface (BCI)
- Industry 4.0
- cognitive systems
- neural signal processing
- adaptive interfaces
- machine learning
- human–robot collaboration
- industrial AI
- smart manufacturing
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