User Interaction

User interaction research focuses on understanding and improving how people engage with various systems, from intelligent assistants and social media platforms to specialized tools for tasks like mathematical notation or video object segmentation. Current research emphasizes developing models that adapt to individual user needs and mental models, often employing techniques like federated learning, graph neural networks, and transformer architectures to personalize experiences and enhance efficiency. This field is crucial for improving the usability and effectiveness of numerous technologies, impacting areas ranging from human-computer interaction to personalized education and e-commerce.