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About

Kimberly Brotherton is a researcher at the intersection of human-robot interaction, personality psychology, and socially assistive robotics. Her work focuses on how vocal attributes and speech characteristics can be used to identify human personality traits—specifically introversion and extroversion—with the goal of enabling robots to better perceive and adapt to human social cues. This line of research, grounded in the similarity-attraction theory, suggests that humans respond more positively to robots that mirror their own personality, making Brotherton’s contributions foundational for designing more intuitive and socially responsive machines. Her most cited paper (2020, 10 citations) identifies speech patterns that distinguish personality groups, while her related 2019 work explores the relationships between vocal attributes and personality. Brotherton has also contributed to the development of affordable, open-source humanoid socially assistive robots, addressing the growing need for low-cost elderly care technologies. Her work bridges engineering, psychology, and human-centered design, offering practical insights for building robots that communicate more naturally and empathetically with diverse users.