Oliver Bown
Papers
10
Total Citations
105
H-Index
5
About
Oliver Bown is a pioneering researcher at the intersection of sound design, music, and human-robot interaction (HRI), whose work has fundamentally shaped how we understand and design sonic experiences for robotic systems. His research explores how sound — ranging from subtle mechanical hums to deliberate musical compositions — can serve as a powerful, non-verbal communication channel between robots and humans. Bown's most influential contributions include his landmark study "Smooth Operator" (2021, 35 citations), which demonstrated that artificially designed movement sounds can meaningfully alter human perceptions of robots, drawing innovative parallels with film sound practice. His "Designing Sound for Social Robots" (2022, 22 citations) provided the field's first comprehensive set of candidate design principles for sonic HRI, filling a critical gap in the literature. As co-author of the introduction to a dedicated special issue on sound in HRI (2023, 13 citations), he has helped define and consolidate this emerging research area. Beyond empirical studies, Bown brings a distinctly artistic perspective, investigating electroacoustic music, spatial sound, and choreographed robotic performance as cultural and creative phenomena. His interdisciplinary vision — bridging engineering, musicology, and performance art — positions him as one of the most original voices shaping the sonic future of social robotics.
Research Focus
Key Achievements
Top Papers
- 1Smooth Operator35 citations · 2021
- 2Designing Sound for Social Robots: Candidate Design Principles22 citations · 2022
- 3Introduction to the Special Issue on Sound in Human-Robot Interaction13 citations · 2023
- 4Implicit Communication through Distributed Sound Design10 citations · 2020
- 5Sound in Human-Robot Interaction8 citations · 2021
- 6Spatially Distributed Robot Sound: A Case Study5 citations · 2023
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- 9The Robot Soundscape3 citations · 2023
- 10