NeCE Lab

The Neuroergonomics and Cognitive Engineering (NeCE) Lab, located in the College of Engineering, Architecture & Technology, is focused on understanding neural, physiological, and behavioral mechanisms underlying human-system interactions, and using that knowledge to inform the design, development, and assessment of cyber-physical systems with the goal of enhancing productivity, safety, and health.

Areas of application include aviation, health care, surface transportation, energy, and military systems.

Meet the Team

Lab Director

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Joseph Nuamah, Ph.D., PMP

Assistant Professor

Grad Students

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Enrico Laoh, MS Student

Research Assistant

Undergrad Students

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Research

Augmented Cognition

This research seeks to use neuroimaging techniques to determine the cognitive state of an individual and then augment human-system interaction to meet or exceed performance requirements.
Last updated on Jan 5, 2021
Augmented Cognition

Improving Information Visualization in Human-System Interaction

This research seeks to develop information representations that map directly onto human intuitive processes by integrating and optimally presenting information based on human cognitive abilities and limitations.
Last updated on Dec 24, 2020
Improving Information Visualization in Human-System Interaction

Physiological Measures of Cognitive Workload

This research investigates insensitivities and dissociations between physiological measures of cognitive workload.
Last updated on Dec 28, 2020
Physiological Measures of Cognitive Workload

Quantifying Opioid Withdrawal Using Wearable Biosensors

This research seeks to use noninvasive wearable sensors, including temperature, accelerometer, electrodermal activity, and photo plethysmography sensors, to continuously monitor physiologic changes associated with opioid withdrawal.
Last updated on Dec 29, 2020
Quantifying Opioid Withdrawal Using Wearable Biosensors

Real-time Dynamic Decision Support System

This research seeks to develop decision support systems that employ machine learning models to capture expert knowledge or agreed standards (e.g. such as protocols or guidelines) and provide specific guidance and insights to decision makers in real-time.
Last updated on Dec 24, 2020
Real-time Dynamic Decision Support System

Virtual Reality in Neuroergonomics

This research seeks to provide new insights into the neural mechanisms underlying (1) training using virtual reality, and (2) therapeutic applications using virtual reality.
Last updated on Dec 25, 2020
Virtual Reality in Neuroergonomics

Publications

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Ranjana Metha, Joseph Nuamah, S. Camille Peres, Robin Murphy (2020). Field Methods to quantify emergency responder fatigue: Lessons learned from sUAS deployment at the 2018 Kilauea Volcano Eruption. IISE Transactions on Occupational Ergonomics and Human Factors.

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Lukasz Mazur, Robert Adams, Prithima Mosaly, Marjorie Stiegler, Joseph Nuamah, Karthik Adapa, Bhishamjit Chera, Lawrence Marks (2020). Impact of Simulation-Based Training on Radiation Therapists’ Workload, Situation Awareness, and Performance. Advances in Radiation Oncology.

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Joseph Nuamah, Prithima Mosaly, Robert Adams, Kathik Adapa, Bhisham Chera, Lawrence Marks, Lukasz Mazur (2020). Assessment of Radiation Therapy Technologists’ Workload and Situation Awareness: Monitoring 2 Versus 3 Collocated Display Monitors. Advances in Radiation Oncology.

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Lukasz Mazur, Robert Adams, Prithima Mosaly, Joseph Nuamah, Karthik Adapa, Lawrence Marks (2020). Effect of Simulation-Based Training and Neurofeedback Interventions on Radiation Technologists’ Workload, Situation Awareness, and Performance. Practical Radiation Oncology.

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Joseph Nuamah, Karthik Adapa, Lukasz Mazur (2020). Electronic health records (EHR) simulation-based training: a scoping review protocol. BMJ Open.

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Prithima Mosaly, Robert Adams, Gregg Tracton, John Dooley, Karthik Adapa, Joseph K Nuamah, Lawrence Marks, Lukasz Mazur (2020). Impact of Workspace Design on Radiation Therapist Technicians’ Physical Stressors, Mental Workload, Situation Awareness, and Performance. Practical Radiation Oncology.

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Ranjana Metha, Joseph Nuamah (2020). Relationship Between Acute Physical Fatigue and Cognitive Function During Orthostatic Challenge in Men and Women: A Neuroergonomics Investigation. Human Factors.

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Joseph Nuamah, Younho Seong, Steven Jiang, Eui Park, Daniel Mountjoy (2020). Evaluating effectiveness of information visualizations using cognitive fit theory: A neuroergonomics approach. Applied Ergonomics.

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Younho Seong, Joseph Nuamah, Sun Yi (2020). Guidelines for cybersecurity visualization design. In IDEAS ‘20.

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Joseph Nuamah, Carolina Rodriguez-Paras, Farzan Sasangohar (2020). Veteran-Centered Investigation of Architectural and Space Design Considerations for Post-Traumatic Stress Disorder (PTSD). Health Environments Research & Design.

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Joseph Nuamah, Ranjana Mehta, Farzan Sasangohar (2020). Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review. JMIR mHealth and uHealth.

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Joseph Nuamah, Ranjana Mehta (2020). Neuroergonomic Applications in Information Visualization. In Neuroergonomics (pp. 435-449). Springer, Cham.

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See all publications

Presentations & Talks

Joseph Nuamah. Evaluating Efficiency of Information Visualizations: A Cognitive Load Perspective. Presented at: 2020 IISE Virtual Annual Conference; November 3, 2020.

Joseph Nuamah. Effectiveness of Feedback Modalities under Stress is Gender-dependent: A NeuroErgonomics Approach. Presented at: 15th Annual One-Day Symposium of Human Factors and Ergonomics; April 26, 2019; UHCL, Houston, TX.

Joseph Nuamah. Emergency Response with UAVs for Hawaii’s Kilauea Volcano. Presented at: Texas A&M University Health Science Center’s Inaugral Disaster Response Symposium: Robotics & Responders; February 14, 2019; College Station, TX.

Joseph Nuamah. Human Factors in Human-Autonomous Systems: A Neuroergonomic Approach. Presented at: Congressional Delegation to HBCUs; March 28, 2018; Greensboro, NC.

Joseph Nuamah. A Machine Learning Approach to Capturing Compensatory and Non-Compensatory Strategies in Judgment Tasks. Presented at: Human Factors and Ergonomics (HFES) International Annual Meeting; October 13, 2017; Austin, TX.

Joseph Nuamah. Classification of Cognitive Tasks using Artificial Neural Networks and Support Vector Machines. Presented at: 2017 Emerging Researchers National Conference in STEM; March 3, 2017; Washington, D.C.

Joseph Nuamah. Task Engagement Index Classification of Cognitive Tasks using Artificial Neural Networks and Support Vector Machines. Presented at: Autonomous Control & Info Tech Institute, North Carolina A&T State University; June 17, 2016; Greensboro, NC.

Joseph Nuamah. EEG-Based Artificial Neural Network Classification of Intuition and Analysis Cognition. Presented at: Department of Defense Human Factors Engineering Technical Advisory Group Meeting 70; May 13, 2016; NASA Langley, Hampton, VA.

Equipment

E4 wristband

Enables real-time physiological data streaming and visualization
Last updated on Dec 26, 2020
E4 wristband

g.Nautilus fNIRS

Enables simultaneous recordings of EEG and fNIRS
Last updated on Dec 26, 2020
g.Nautilus fNIRS

Oculus Quest 2

All-in-one VR system
Last updated on Dec 26, 2020
Oculus Quest 2

Polar H10 Heart Rate Sensor

Enables accurate heart rate monitoring
Last updated on Dec 28, 2020
Polar H10 Heart Rate Sensor

Tobii Pro Glasses

Enables understanding of how people view and interact in the real, dynamic world
Last updated on Dec 26, 2020
Tobii Pro Glasses

Prospective Students

For prospective graduate students

Dr. Nuamah is accepting new graduate students starting in Fall 2021. Please contact Dr. Nuamah if you are interested.

For undergraduate research assistants

NeCE Lab is always looking for highly-motived undergraduate research assistants. Please contact Dr. Nuamah if you are interested.

Contact

  • jnuamah@okstate.edu
  • 405 744 60 55
  • Athletic Ave, Stillwater, OK 74075
  • Advanced Technology Research Center (ATRC) Room 114, Oklahoma State University, Stillwater, OK