Jingya Chen

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About

Jingya Chen is a leading researcher in human-robot interaction, with a focus on socially aware robotics and embodied conversational agents. Her most-cited work, the 2018 paper "Field Trial Analysis of Socially Aware Robot Assistant," introduces the Socially-Aware Robot Assistant (SARA), a pioneering system that detects visual, vocal, and verbal cues to estimate rapport with users. This contribution advances the field by enabling robots to dynamically adapt their responses through multimodal feedback, fostering more natural and empathetic human-robot relationships. With 20 citations, this study underscores her impact on designing socially intelligent machines. Chen’s research bridges artificial intelligence and social psychology, offering practical frameworks for robots in healthcare, education, and service settings. Her work is notable for its emphasis on real-world field trials, moving beyond lab-based experiments to validate socially aware systems in authentic environments. For students and researchers, Chen’s contributions illuminate the path toward robots that not only understand but also respond to human social dynamics, making her a key figure in the evolution of socially assistive technology.