2026 International Conference on Human-Computer Interaction, Neural Networks and Deep Learning provides a premier forum for the presentation of new advances and research results in the fields of Human-Computer Interaction, Neural Networks and Deep Learning. The conference will bring together leading researchers, social workers and scientists in the domain of interest from around the world.
The topics of interest for submission include, but are not limited to:
◕ Human–Computer Interaction
Intelligent User Interfaces
Human–AI Collaboration
Affective Computing
Virtual and Augmented Reality
Brain–Computer Interfaces
Adaptive Interaction Systems
Eye-Tracking Interaction
Gesture and Speech Interaction
Usability and Accessibility
Multimodal Interaction
Human Behavior Analysis
Cognitive Modeling
Intelligent Agents
Personalized Interaction
Embodied Interaction
◕ Neural Networks
Neural Network Architectures
Convolutional Neural Networks
Recurrent Neural Networks
Spiking Neural Networks
Graph Neural Networks
Attention Mechanisms
Neural Network Optimization
Transfer Learning
Neural Information Processing
Bio-inspired Neural Models
Reinforcement Learning
Self-Organizing Networks
Federated Neural Learning
Explainable Neural Models
Neural Computation for HCI
◕ Deep Learning
Deep Representation Learning
Generative Models
Multimodal Deep Learning
Self-Supervised Learning
Large Language Models
Deep Reinforcement Learning
Few-shot and Zero-shot Learning
Explainable Deep Learning
Edge and Cloud Deep Learning
Trustworthy AI
Deep Learning for HCI
Vision–Language Models
Emotion Recognition
Adaptive Deep Systems
Deep Learning for Robotics