Jack Hayley
Papers
1
Total Citations
1
H-Index
1
About
Jack Hayley’s research lies at the intersection of human-robot interaction (HRI), auditory perception, and safety communication. His most-cited work, “What Sounds Dangerous? Establishing Correlations of Musical Features and Perceived Safety in HRI” (2025), pioneers the use of music-driven sonification to enhance collaborative safety between humans and robots. By systematically analyzing how low-level musical features—such as pitch, tempo, and timbre—influence perceived risk, Hayley provides a novel framework for designing intuitive, non-verbal auditory cues that can alert users to potential hazards without overwhelming visual attention. Though early in its citation trajectory, this paper has already sparked interest in robotics and cognitive ergonomics communities. Hayley’s contributions are particularly notable for bridging music theory with practical HRI challenges, offering a creative yet rigorous approach to improving trust and situational awareness. His work promises to shape future interfaces in manufacturing, healthcare, and service robotics, where clear, immediate communication of danger is critical. As a rising voice in sonification research, Hayley continues to explore how sound can make human-robot teams safer and more intuitive.
Research Focus
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Top Papers
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