NeuroErgonomics Lab

neuroergonomics.engr.tamu.edu

The NeuroErgonomics Lab examines the mind-motor-machine nexus to understand, quantify, and predict human states like stress and fatigue. With these predictions, we are better able to understand human performance while interacting with emerging technologies in safety-critical environments (emergency response, space exploration, and oil and gas). These investigations involve examining the multifactorial causes and consequences of operator stress and fatigue, brain-behavior relationships with changing workforce demographics, and the development of tools that assess operator health and performance. Basic research in our lab focuses on understanding, monitoring, and augmenting human performance using brain-behavior approaches and techniques by advancing neurophysiological mechanisms of human fatigue (physical and cognitive). These approaches are observed particularly under stress and in underserved populations. These efforts provide a foundation for our applied research and technology developments that focus on augmenting and supporting embodied cognition. Through equitable multimodal interface designs, wearable technologies, fluent human-robotic interactions (HRI), brain-computer interfaces (BCIs), and neurostimulation, we are able to set a groundwork that is poised and scaled to transform the future of work, across many critical industries.

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The NeuroErgonomics Lab examines the mind-motor-machine nexus to understand, quantify, and predict human states like stress and fatigue. With these predictions, we are better able to understand human performance while interacting with emerging technologies in safety-critical environments (emergency response, space exploration, and oil and gas). These investigations involve examining the multifactorial causes and consequences of operator stress and fatigue, brain-behavior relationships with changing workforce demographics, and the development of tools that assess operator health and performance. Basic research in our lab focuses on understanding, monitoring, and augmenting human performance using brain-behavior approaches and techniques by advancing neurophysiological mechanisms of human fatigue (physical and cognitive). These approaches are observed particularly under stress and in underserved populations. These efforts provide a foundation for our applied research and technology developments that focus on augmenting and supporting embodied cognition. Through equitable multimodal interface designs, wearable technologies, fluent human-robotic interactions (HRI), brain-computer interfaces (BCIs), and neurostimulation, we are able to set a groundwork that is poised and scaled to transform the future of work, across many critical industries.

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Country

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State

Texas

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City (Headquarters)

College Station

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Employees

11-50

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  • Research Assistant

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