Joel Pinney

Papers

Total Citations

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About

Joel Pinney is a researcher at the forefront of human-robot interaction, exploring how the design and aesthetics of robots shape human trust and safety. His most cited work, "Human-robot interaction: the impact of robotic aesthetics on anticipated human trust" (2022, 33 citations), investigates how sensory cues and visual design influence emotional processing and trust before any physical interaction occurs—a foundational insight for creating socially acceptable robots. Building on this, Pinney’s recent study, "A Novel Fall Detection System Using the AI-Enabled EUREKA Humanoid Robot" (2024), demonstrates a practical application of humanoid robotics in healthcare, leveraging AI to detect falls and enhance user safety. Though early in his career, his work bridges perceptual psychology and robotics engineering, offering critical guidance for designers and engineers aiming to build robots that are both trusted and functional. Pinney’s contributions are particularly relevant to students and researchers in human-robot interaction, assistive technology, and AI ethics, as he tackles the nuanced interplay between form, function, and human response.