The CEII is a series of conferences which focus on experimental, theoretical and application aspects of innovations in Cognitive Engineering and Intelligent Interaction. The Conference aims to provide an opportunity to gather researchers, scholars, and experts from academia and industry working in the following areas of basic and applied sciences, engineering and technology to share their research findings.

We warmly welcome domestic and foreign universities, scientific research institutions experts, scholars, business people and other relevant personnel to participate in the conference exchange.

Topics of interest include, but are not limited to:

Track 1: Artificial Intelligence and Soft Computing 

Adaptive Systems
Fuzzy Logic
Data Mining
Brain Computer Interface
Shallow Machine Learning
Deep Learning
Bayesian Learning
Hybrid intelligence System
Inductive Learning
Intelligent and Knowledge Based System
Intrusion Detection
Agents and Multi-agent Systems
Natural Language Processing
Hybrid and Nonlinear system
Brain/Bio Inspired Algorithm
Context-aware Pervasive Systems
Quantum Computing
Robotics

Track 2: Cognitive Science and Computational Biology

Neuroscience
Bio/Brain-informatics
Health-informatics
Computational Biology
Biomimetics
Brain Modeling
Neuromorphic engineering
Brain Inspired Model
Cognitive systems, modeling, design and management
Applications of cognitive systems engineering
Analysis of human-machine systems and sociotechnical systems
Usability testing
Process mapping
Discrete-event simulation
Dynamic systems simulation
Interface design, prototyping and evaluation
Design of human interfaces

Track 3: Cognitive Engineering and Human-AI Teaming

Methods & Models for HAI Teaming
AI Transparency & Explainability
Trust and Trustworthiness in HAI Teams
Design Approaches for Human-Centered HAI
Improving Engagement & Situation Awareness in HAI Teams
Meaningful Human Control over AI-based Systems
Identification & Mitigation of AI and Human Decision Biases
Measures & Metrics of HAI Collaboration & Performance
Training for Effective HAI Teaming
Integration of AI into Socio-Technical Systems
Communication & Collaboration in HAI Teams
HSI Processes to Address HAI Teaming
Novel Methods for Improving HAI Teaming
Ethics in HAI Teaming
Human Perceptions of HAI Teaming
Shared Understanding within HAI Teaming
Levels of Autonomy within HAI Teaming

Track 4: Extended Interaction 		

recognition
Interactions in Metaverse
Immersive and Verisimilitudinous Tele-presence
Ubiquitous & Virtual Worlds in HCI
Augmented Reality/Virtual Reality/Extended Reality
Cloud computing in HCI
Human-Robot Interaction
Therapy and Rehabilitation
Telehealth in HCI
Assisted and Enhanced Living Host
HCI in art and entertainment
Art pieces supported by HCI
Sound design for HCI
Wearable and Fashion
	
Track 5: Models and Systems 

Fuzzy Theory and Algorithms
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Kernel Methods and Supporting Vector Machines
Machine Learning
Knowledge Discovery and Data Mining
Natural Language Processing and Computational Linguistics
Intelligent Computing in Robotics
Intelligent Computing in Computer Vision
Intelligent Computing in Finance/Banking
Intelligent Computing in Communication Networks
Intelligent Control and Automation
Intelligent Image/Document Retrievals
Intelligent Data Fusion
Intelligent Data Analysis & Prediction
Intelligent Agent and Web Applications
Intelligent Fault Diagnosis

Track 6: Computer vision & image processing

Realistic rendering and animation
Geometric processing
Image and video understanding and synthesis
Computer vision
Natural language processing/generation, text analytics and speech recognition
Signal Processing