Joseph Nuamah

Texas A&M University

Papers

1

Total Citations

17

H-Index

1

About

Joseph Nuamah investigates the intersection of human factors, neuroergonomics, and human-robotic interaction, with a particular focus on how stress and gender influence operator performance. His work reveals that sensory feedback modalities—whether single or combined—significantly affect neural efficiency during human-robotic tasks, and that these effects differ between genders. In his highly cited 2019 study, Nuamah demonstrated that combining feedback modalities does not always enhance performance, challenging conventional assumptions in interface design. This research has garnered 17 citations and provides critical insights for developing adaptive, user-centered robotic systems. By integrating cognitive neuroscience with engineering, Nuamah’s contributions help optimize human-robot collaboration in high-stakes environments, such as military operations or disaster response. His findings underscore the importance of personalized feedback mechanisms, advancing both theoretical understanding and practical applications in human-automation interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Neural Efficiency of Human–Robotic Feedback Modalities Under Stress Differs With Gender
17 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Texas A&M University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago