Sophia Corvaia

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About

Sophia Corvaia is a pioneering researcher at the intersection of cognitive science and affective robotics, with a primary focus on modeling artificial emotions through the lens of human inner speech and neuropsychological theory. Her most-cited work, "Inner Speech and Damasio’s Theory for Modeling Robot’s Emotions" (2025, 1 citation), introduces a novel framework that integrates Antonio Damasio’s somatic marker hypothesis with the phenomenon of inner speech to enable robots to not merely detect, but genuinely experience and respond to emotionally relevant events. This contribution challenges conventional approaches by shifting from emotion recognition to emotion simulation, aiming to enhance the authenticity and social fluency of human-robot interaction. Corvaia’s research bridges cognitive neuroscience and robotics, offering a theoretical foundation for designing machines that can simulate emotional behavior in contextually appropriate ways. Though early in her citation trajectory, her work represents a bold step toward more empathetic and socially intelligent artificial agents, positioning her as an emerging voice in the growing field of affective computing.