Leiszle Lapping‐Carr

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About

Leiszle Lapping-Carr is a pioneering researcher at the intersection of human-robot interaction and social psychology, with a primary focus on how people perceive social intelligence in robots. Her most influential work, "Measuring the Perceived Social Intelligence of Robots" (2020, 67 citations), bridges critical gaps between robotics and psychology by developing novel measurement scales that assess how humans attribute beliefs, desires, and intentions to artificial agents. This foundational contribution provides researchers with validated tools to evaluate robotic social capabilities beyond basic interaction metrics. Lapping-Carr’s work uniquely integrates psychological frameworks of social intelligence with human-robot interaction principles, offering both theoretical insights and practical methodologies for designing more socially adept robots. Her research has significant implications for fields ranging from assistive robotics to autonomous systems, where perceived social competence directly impacts user trust and acceptance. By establishing rigorous, domain-specific measurement approaches, Lapping-Carr has helped shape how the research community understands and evaluates the social dimensions of robotic intelligence, making her work essential reading for students and scholars exploring the human side of artificial social agents.