Dylan Moore

Papers

Total Citations

128

H-Index

About

Dylan Moore is a human-robot interaction researcher whose work sits at a compelling intersection of sound design, perception, and robotics. His most influential contributions center on how acoustic properties shape human perceptions of robotic systems — a dimension of HRI that remains underexplored compared to visual and behavioral design. In his highly cited 2017 paper "Making Noise Intentional" (57 citations), Moore developed a pioneering framework for objectively and subjectively characterizing robot sounds, bringing rigor to what had largely been an overlooked design variable. His complementary study "Good Vibrations" (47 citations) demonstrated experimentally that audio quality significantly influences how users perceive robotic competence and trustworthiness, using the KUKA youBot as a test platform. Moore extended this thinking in "Sound as Implicit Influence on Human-Robot Interactions" (2018), arguing for deliberate acoustic design in autonomous systems including domestic robots and self-driving vehicles. His creative work "Character Actor" (2018) showcased his broader design sensibility, exploring how an actuated car seat might function as an expressive robotic entity. Collectively, Moore's research makes a strong case that sound is not a byproduct of robotic motion, but a powerful, designable channel for communication and trust.