Scott Brown
Papers
4
Total Citations
28
H-Index
3
About
Scott Brown is a pioneering researcher in socially-assistive robotics and human-robot interaction, with a focus on designing adaptive technologies for neurodiverse populations and disability support. His work bridges engineering, psychology, and inclusive design to create robots that are not only functional but socially intuitive. Brown’s most cited paper, “DroEye” (2020, 11 citations), introduces a drone-mounted responsive eye prototype that uses social cues—such as gaze and blinking—to improve user trust and comfort, demonstrating how even minimal behavioral signals can transform human-drone interaction. In “How the Inclusion of Design Principles Contribute to the Development of Social Robots” (2018, 10 citations), he synthesizes fragmented knowledge into eleven actionable design principles, providing a foundational framework for building socially engaging machines. His case study on humanoid robots in therapeutic interventions for autistic children (2019, 5 citations) showcases the real-world impact of cross-collaborative approaches, while his recent work “From Assistive to Adaptive” (2023, 2 citations) challenges the field to adopt strengths-based, rather than deficit-focused, design for disability technology. Brown’s contributions are shaping a more empathetic, user-centered future for robotics, with growing influence across assistive technology and human-robot interaction communities.
Research Focus
Key Achievements
Top Papers
- 1DroEye11 citations · 2020
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- 4