Shannon Connell
Papers
1
Total Citations
2
H-Index
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About
Shannon Connell is a pioneering researcher at the intersection of human-robot interaction (HRI), accessibility, and inclusive design. Her work fundamentally challenges the one-size-fits-all approach to collaborative robotics, demonstrating how cobot interaction paradigms must adapt to diverse human capabilities. Connell’s most-cited study, “Understanding Differences in Human-Robot Teaming Dynamics between Deaf/Hard of Hearing and Hearing Individuals” (2023), reveals that traditional cobot designs—relying heavily on auditory cues—systematically disadvantage Deaf and hard of hearing users. By empirically documenting these disparities, she provides a critical framework for designing multimodal feedback systems that enhance teaming efficiency for all operators. Though early in her career, her work has already garnered attention for its practical implications in Industry 4.0 manufacturing environments, where inclusive cobot design can improve safety and productivity. Connell’s research sits at the vital crossroads of engineering and social justice, ensuring that the future of human-robot collaboration is not only technologically advanced but also equitable. Her contributions are essential reading for anyone designing robots that must work alongside diverse human teams.
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Top Papers
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