Amie Louise Godkin
Papers
1
Total Citations
14
H-Index
1
About
Amie Louise Godkin is a pioneering researcher at the intersection of affective computing, human-robot interaction, and developmental psychology. Her work centers on engineering emotionally intelligent machines, particularly for child-robot interaction (CRI), by integrating biophysical data with insight-driven artificial intelligence. Her most-cited paper, "Advancing Emotionally Aware Child–Robot Interaction with Biophysical Data and Insight-Driven Affective Computing" (2025, 14 citations), exemplifies her interdisciplinary approach, merging neuroscience, psychology, and AI to create robots that can perceive and respond to children's emotional states in real time. This foundational contribution has laid the groundwork for more empathetic, adaptive robotic systems in educational and therapeutic settings. Godkin's research is notable for its focus on translating complex emotional signals into actionable machine learning models, pushing the boundaries of how robots understand human affect. Her work is already shaping the future of socially assistive robotics, with potential applications in autism support, early childhood education, and mental health interventions. As a rising voice in human-robot interaction, Godkin continues to drive innovation toward machines that are not just intelligent, but genuinely emotionally aware.
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Top Papers
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