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:[email protected]