Joshua Bamsforth

Sheffield Hallam University

Papers

1

Total Citations

25

H-Index

1

About

Joshua Bamforth is a researcher at the intersection of human-robot interaction, cognitive science, and usability engineering. His work focuses on designing and evaluating robotic systems that can administer cognitive assessments in a more natural, engaging, and accessible manner. His most-cited paper, "Usability Evaluation of a Robotic System for Cognitive Testing" (2019, 25 citations), introduces a pioneering system that combines the social robot Pepper with IBM's Watson AI to conduct cognitive tests. In a study with 36 participants who used the system unassisted, Bamforth demonstrated that such multimodal platforms can be intuitive and effective, laying the groundwork for autonomous, robot-assisted cognitive screening. This contribution is particularly significant for aging populations and clinical settings where traditional testing may be burdensome. By bridging robotics and cognitive assessment, Bamforth is helping to shape a future where technology not only supports but enhances diagnostic processes. His work is a compelling example of how human-centered design can transform healthcare technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Usability Evaluation of a Robotic System for Cognitive Testing
25 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Sheffield Hallam University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago