Laurianne Charrier

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About

Laurianne Charrier is a leading researcher in human-robot interaction, with a focused expertise in robot empathy and social perception. Her work addresses a critical challenge: how to design robots that are not only functional but also emotionally intelligent enough to be accepted as everyday interaction partners. Charrier’s major contribution is the development of the **RoPE Scale** (Robot Perceived Empathy), a pioneering metric introduced in her 2019 paper (30 citations) that provides a standardized way to measure how empathic a robot is perceived by humans. This tool fills a crucial gap in the field, where no consensus previously existed for quantifying such subjective social traits. Her 2018 pilot study (6 citations) further explored how a robot’s display of empathy influences real-time human-robot interactions, laying groundwork for more natural and trusting relationships between people and machines. By creating the RoPE Scale, Charrier has given researchers a vital instrument for evaluating and improving robot social behavior, directly advancing the goal of integrating robots into homes, hospitals, and public spaces. Her work is essential reading for anyone interested in the intersection of robotics, psychology, and affective computing.