Including but not limited to the following contents:
Track 1: Human-Computer Interaction, Intelligent Interaction
Theories and methods of human-computer interaction
Multimodal interaction (visual/auditory/tactile)
Design of natural interaction interfaces
Emotional computing and user experience
Virtual/Augmented/Mixed Reality Interaction
Wearable and immersive interaction
Brain-computer interface and neural interaction
Human collaboration and trust building
Social robots and service robots
Accessibility and inclusive interaction design
Interaction evaluation and usability research
Data security and privacy of human-computer interfaces
Track 2: Artificial Intelligence and Cognitive Computing
Machine learning and deep learning
Natural language processing and dialogue systems
Computer vision and visual interaction
Knowledge representation and reasoning
Reinforcement learning and intelligent decision-making
Generative AI and large language models
Interpretable artificial intelligence and trustworthy AI
Multi-agent systems and collaboration
Embodied intelligence and cognitive architecture
Emotion recognition and behavior analysis
AI ethics and responsible innovation
Edge intelligence and real-time reasoning
Track 3: Intelligent Systems and Autonomous Control
Intelligent perception and multi-sensor fusion
Autonomous decision-making and task planning
Multi-agent collaborative control
Robot systems and embodied intelligence
Intelligent fault diagnosis and predictive maintenance
Intelligent control systems and adaptive control
Unmanned systems (drones/cars/ships)
Swarm intelligence and modeling of group behavior
Digital twins and system simulation
Intelligent information retrieval and recommendation systems
Human-machine hybrid intelligence and cognitive enhancement
Intelligent system integration and applications