Call for Papers
Call for Papers
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 | Track 2: Cognitive Science and Computational Biology | Track 3: Cognitive Engineering and Human-AI Teaming |
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 |
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 |
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 | Track 5: Models and Systems | Track 6: Computer vision & image processing/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 |
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 |
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 |