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About

Kristen Salomon’s research lies at the intersection of psychophysiology and human-robot interaction (HRI), where she has pioneered methods to measure and evaluate human affective and cognitive responses to robots. Her most influential work, the 2007 survey “Survey of Psychophysiology Measurements Applied to Human-Robot Interaction” (116 citations), systematically reviews how physiological signals—such as heart rate, skin conductance, and facial electromyography—can serve as objective metrics for assessing user reactions, especially emotional states, during HRI. This foundational paper, along with her complementary work on experimental design (31 citations), provides essential guidelines for integrating psychophysiological measures into HRI studies, addressing a critical gap in evaluation methodologies. Salomon’s preliminary results from a large-scale HRI study (19 citations) further demonstrate that participants exhibit calmer physiological responses when interacting with non-anthropomorphic robots operating in an emotive mode, offering early evidence for the potential of emotionally expressive robot behaviors. Her contributions have shaped how researchers approach the measurement of human experience in robotics, making her work a key reference for those studying affect-aware and socially interactive robots.