Human Machine Interaction

Human-machine interaction (HMI) research focuses on designing and improving the ways humans interact with machines, aiming for more intuitive, efficient, and safe collaborations. Current research emphasizes developing intelligent interfaces using large language models, deep learning for gesture and gaze recognition, and reinforcement learning for adaptive assistance, often incorporating multimodal data and explainable AI for increased trust and transparency. These advancements have significant implications for various fields, including healthcare (e.g., improved medical image analysis), industrial automation (e.g., safer and more efficient human-robot collaboration), and assistive technologies (e.g., more effective support for vulnerable populations).