John Hough
Papers
1
Total Citations
5
H-Index
1
About
John Hough is a leading researcher at the intersection of human–robot interaction and cognitive ergonomics, with a primary focus on how robotic support systems can mitigate mental workload and enhance task performance. His most-cited work, "How Human–Robot Interaction Can Influence Task Performance and Perceived Cognitive Load at Different Support Conditions" (2025), has already garnered 5 citations, establishing a foundational framework for understanding how social robots can offload cognitive demands during complex, multi-tasking scenarios. Hough’s major contribution lies in empirically demonstrating that varying levels of robotic assistance—from passive presence to active guidance—differentially affect users’ perceived cognitive load and objective performance outcomes. By bridging principles from cognitive psychology with robotics design, his research provides actionable insights for developing adaptive, user-centered support systems in high-stakes environments such as healthcare, manufacturing, and education. Hough’s work is notable for its rigorous experimental methodology and its potential to reshape how we design robots that not only assist physically but also support human cognition, ultimately making collaborative human–robot teams more efficient and less mentally taxing.
Research Focus
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Top Papers
- 1