2026 8th International Conference on Human-Centered Computing and Data Intelligence (HCC 2026)
HOME > Call For Papers

We warmly invite researchers, academics, and industry professionals worldwide to contribute their latest original research, case studies, and practical insights.

Topics of interest for submission include, but are not limited to, the following:

Track 1: Human-Centered Data Intelligence

  • Data Visualization and Explainable Analysis
  • Human-in-the-Loop Data Mining and Machine Learning
  • Recommender Systems and Personalized Services
  • Data Privacy Protection and Secure Computing
  • Large-Scale Data Analysis and Human-Centered Design

Track 2: Large-Scale Data Analysis and Human-Centered Design

  • Internet of Things and Edge Intelligence
  • Cloud Computing and Service Computing
  • Mobile Computing and Ubiquitous Networks
  • Smart Environments and Context Awareness
  • Human-Centered Smart Home and Assisted Living

Track 3: Human-Machine Collaboration and Social Intelligence

  • Swarm Intelligence and Collaborative Computing
  • Social Computing and Social Network Analysis
  • Computer-Supported Cooperative Work
  • Crowdsourcing and Human-Centered Computing
  • Virtual Collaboration and Augmented Interaction

Track 4: User Behavior Big Data Modeling

  • User Profiling
  • Crowd Intelligence Collaborative Decision-Making
  • Behavior Evolution Prediction
  • Multi-Scenario Behavior Modeling
  • Public Opinion Intelligent Analysis
  • Group Clustering Analysis

Track 5: Explainable Data Intelligence and Human-Centered Trustworthy AI

  • Visualization and Explainability Methods
  • Algorithm Bias Detection and Optimization
  • Temporal Explainable Models
  • AI Decision Transparency
  • Algorithm Fairness Evaluation
  • Lightweight Explainable Systems

Track 6: Multimodal Human-Computer Interaction Data Intelligence

  • Multimodal Fusion and Affective Sensing
  • Lightweight Multimodal Fusion
  • Intelligent User Experience Evaluation
  • Virtual-Real Interaction Mining

Track 7: Human-Centered Computing for Education Innovation and Learning Intelligence

  • Personalized Learning and Adaptive Instruction
  • Educational Big Data and Learning Analytics
  • Affective Computing for Learning
  • VR/AR Applications in Education
  • Educational Knowledge Graphs
  • Educational Equity and AI Ethics