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Explores the relevance of styles in human-computer interaction, visual perception, cognition, usability testing, games, data visualization, accessibility, extended reality, and more.
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Covers the principles and methods of usability testing, emphasizing the importance of testing software with future users and applying design principles.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Delves into using simulations for Human-Robot Interaction, learning from human expertise and preferences, user models, system models, simulation results, and assisting drone landings.
