Maria-Isabel Casso
Papers
2
Total Citations
6
H-Index
2
About
Maria-Isabel Casso is a researcher at the forefront of human-robot interaction (HRI), specializing in the subtle, non-verbal dynamics that shape how people connect with social robots. Her work focuses on the psychology of engagement, exploring how a robot’s posture, idle motion, and movement patterns can trigger spontaneous emotional contagion—the unconscious mirroring of feelings between human and machine. In her highly cited 2022 study, Casso demonstrated that even a robot’s subtle, lifelike motions significantly influence human acceptance and emotional responses, laying groundwork for more intuitive social robots in public spaces. Her 2024 research advances this by quantifying spontaneous human movement as a metric for engagement, moving beyond traditional questionnaires to capture real-time, embodied interaction quality. With a growing citation footprint, Casso’s contributions are pivotal for designing robots that feel genuinely responsive in healthcare, education, and service contexts. Her work bridges robotics, psychology, and affective computing, offering both theoretical insights and practical tools for creating machines that don’t just perform tasks, but resonate with human emotion.
Research Focus
Key Achievements
Top Papers
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