Titre de numéro spécial: AI Guided Human-Machine Interactive Systems and Applications
AI-guided human-machine interactive systems enable to support human physical and mental activities and enhance the capacities of machinesʼ learning and adaptation through optimized and explainable interactions and collaborations between users and computers by means of intelligent and data-driven techniques such as data mining, natural language processing, computer vision, reinforcement learning and knowledge reasoning, and model free adaptive control. They have been widely applied in interactive manufacturing, interactive product design, intelligent wearable systems, AI guided medical diagnosis, autonomous automobile driving systems, customer oriented decision support systems, personalized learning/teaching systems, etc. In the frame of ISKE2025, we are organizing this Special Session, aiming to offer a systematic overview of this emerging research field and provide innovative interdisciplinary approaches. It will provide a leading forum for disseminating the latest results of studies, development, and applications of AI-guided human-machine interactive systems.
Guest Edited by:
Xianyi Zeng, PhD, University of Lille, France
Haoping Wang, PhD, Nanjing University of Science and Technology NJUST, China
Submission Deadline: 15 April 2026