International Conference on Human-Computer Interaction for Industrial Applications

Publication and Indexing:
All accepted papers will be included in the HCIA 2026 conference proceedings and indexed in Scopus and Ei Compendex.

Track: Frontiers in Artificial Intelligence and Applications (FAIA)
Topics: Computer Sciences, Mathematics & Statistics, Artificial Intelligence
Indexing: Scopus, EI Compendex, Google Scholar, CPCI, DBLP Bibliography Server, and Zentralblatt MATH
Publisher: IOS PRESS, SAGE OPEN (ISSN: 1879-8314)

Outstanding papers could be recommended to journals as follows:
·SCI Indexed: ACM Transactions on Computer-Human Interaction (ISSN: 1557-7325)
·SCI Indexed: Human-computer Interaction (ISSN: 0737-0024)
·SCI Indexed: IEEE Transactions on Human-machine Systems (ISSN: 2168-2291)
·SCI/SSCI Indexed: International Journal of Human-computer Interaction (ISSN: 1044-7318)
·SCI/SSCI Indexed: International Journal of Human-computer Studies (ISSN: 1071-5819)
·SCI Indexed: Advanced Robotics (ISSN: 1568-5535)

Special Session CFP:
1. Interpretable and Explainable Machine Learning

Explainable AI (XAI)
Interpretable machine learning
Explainable deep learning
Feature attribution
SHAP/LIME
Counterfactual explanation
Causal explanation
Concept bottleneck models
Model transparency
Explainability evaluation

2. Human-AI Collaboration and Decision Support

Human-centered AI
Human-in-the-loop
Human-AI teaming
Interactive AI
Decision intelligence
Decision support systems
Mixed-initiative systems
Collaborative intelligence
Cognitive decision support
Adaptive decision support

3. Trustworthy, Transparent and Responsible AI

Trustworthy AI
Responsible AI
AI ethics
Fairness
Accountability
Transparency
Explainability metrics
AI governance
Bias mitigation
Regulatory AI

4. Human-Centered Explainability and User Experience

Explainable interfaces
Explainable visualization
Personalized explanations
User trust
Human factors
Cognitive modeling
User experience
Human-computer interaction
Mental models
Explainability usability

5. Explainable AI for High-Stakes Decision Making

Medical AI
Clinical decision support
Financial decision intelligence
Explainable healthcare AI
Smart manufacturing
Cybersecurity
Autonomous systems
Public safety
Risk analysis
Industrial AI

6. Explainability for Foundation Models and Generative AI

Large Language Models
Explainable LLMs
Generative AI
AI agents
Multi-agent systems
Retrieval-Augmented Generation (RAG)
Hallucination detection
Reasoning interpretability
AI verification
Human oversight

Contact:
WhatsApp:+86 147 0814 4150
Email:hciacontact@gmail.com

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