International Conference on Human-Computer Interaction for Industrial Applications

HCIA 2026


Computer Vision & Pattern Recognition Engineering & Computer Science (General) Human Computer Interaction



 




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)



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:

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Email:hciacontact@gmail.com