User Understanding

User understanding in human-computer interaction focuses on improving how users interact with and comprehend complex systems, particularly AI-driven ones. Current research emphasizes developing interactive and personalized explanations, employing techniques like concept-based explanations, user embeddings within LLMs, and adaptive interfaces that adjust to user needs and knowledge levels. This work is crucial for enhancing the usability and trustworthiness of AI systems across diverse applications, from database querying to personalized news recommendations and assistive technologies, ultimately bridging the gap between technical complexity and user comprehension.