Interactive Interface
Interactive interfaces are being developed to improve human-computer interaction across diverse scientific and engineering domains, aiming to enhance efficiency, understanding, and collaboration. Current research focuses on creating interfaces tailored to specific tasks, such as kinesthetic robot teaching, semantic document exploration, and adversarial question generation, often leveraging large language models and explainable machine learning algorithms for improved user experience and data analysis. These advancements are significantly impacting fields ranging from robotics and archival research to healthcare and materials science by facilitating more effective data analysis, knowledge discovery, and human-machine teamwork.
Papers
Improving Data Transfer Efficiency for AIs in the DareFightingICE using gRPC
Chollakorn Nimpattanavong, Ibrahim Khan, Thai Van Nguyen, Ruck Thawonmas, Worawat Choensawat, Kingkarn Sookhanaphibarn
An Interactive UI to Support Sensemaking over Collections of Parallel Texts
Joyce Zhou, Elena Glassman, Daniel S. Weld