Emily Lawson

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About

Emily Lawson is a pioneering researcher at the intersection of human-robot interaction, autonomous vehicle design, and social robotics. Her work fundamentally explores how the physical and vocal characteristics of artificial agents shape human trust, emotional perception, and user experience. Lawson’s most influential study, “Female Voice Agents in Fully Autonomous Vehicles Are Not Only More Likeable and Comfortable, But Also More Competent” (45 citations), demonstrates that voice gender significantly impacts driver trust and perceived competence of in-vehicle agents, challenging assumptions about agent design in automation. She further investigates the nuanced interplay between robot appearance, voice type, and emotional expression in her paper “The Effects of Robot Appearances, Voice Types, and Emotions on Emotion Perception Accuracy and Subjective Perception on Robots” (9 citations), revealing how multimodal design features affect users’ ability to accurately read robot emotions. Lawson’s contributions are vital for engineers and designers creating socially intelligent machines, as her findings provide evidence-based guidelines for developing agents that are both trusted and effective. Her work is increasingly cited in autonomous vehicle research and social robotics, positioning her as a key voice in the ethical and practical design of human-centered AI.