Junseop So

Papers

Total Citations

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About

Junseop So is a researcher at the intersection of human-robot interaction and sound design, whose work explores how auditory cues can bridge the emotional and functional gap between humans and machines. His most cited paper, "Exploring the taxonomic and associative link between emotion and function for robot sound design" (2017, 4 citations), lays foundational groundwork by investigating how individuals perceive sound as a multilayered medium that conveys both emotional and functional information. This research proposes that carefully designed robot sounds can enhance communication efficiency in human-robot interaction, offering a novel pathway for more intuitive and expressive robotic systems. While his citation count is modest, So’s contribution is notable for its early and systematic attempt to taxonomize the relationship between sound attributes and user perception, a critical step for the emerging field of social robotics. His work is particularly relevant for researchers and students interested in non-verbal communication, affective computing, and the design of more relatable autonomous agents. By focusing on the often-overlooked auditory modality, So highlights the potential for sound to humanize technology, making his research a valuable reference for those exploring multimodal interaction design.