Alexandre Galdeano

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About

Alexandre Galdeano is a researcher at the forefront of human-robot interaction, with a focused expertise in the design and evaluation of empathic robotic systems. His primary research area centers on how robots can perceive, display, and elicit empathy to foster more natural and effective collaborations with humans. Galdeano’s major contribution is the development of the RoPE (Robot Perceived Empathy) Scale, a pioneering metric that provides a standardized method for quantifying how empathic a robot is perceived to be by its human users. This tool, detailed in his most-cited work (30 citations), addresses a critical gap in the field, offering a reliable benchmark for comparing different empathic architectures and behaviors. His pilot study on empathy display (6 citations) further demonstrates the tangible influence of such behaviors on the quality of human-robot interactions. By providing the means to measure and validate a core component of social robotics, Galdeano’s work is instrumental in moving robots from mere tools to trusted, emotionally intelligent partners, paving the way for their deeper integration into everyday life.