User Perception

User perception research investigates how individuals understand and interact with technology, aiming to optimize design for improved usability, trust, and satisfaction. Current research focuses on understanding the impact of various factors—including AI labeling, explanation formats, and cultural context—on user experience, employing models like reinforcement learning, large language models, and contextual bandits to personalize interactions and improve outcomes. This field is crucial for developing human-centered AI systems across diverse applications, from recommender systems and e-commerce to healthcare and education, ensuring technology aligns with user needs and expectations.