We are focused on understanding human behavior and abilities in complex systems and using Human-Systems Engineering methods to improve human performance, design of tools, machines, tasks, and systems, and ultimately to enhance the quality of life!.
Please visits our current Projects to find out more about HSI lab and see the Opportunities Page if you are interested to work with us.
HSI lab has been awarded a pilot project grant from North Carolina Occupational Safety and Health Education and Research Center (NC OSHERC) to develop an adaptive mobile computer terminal to improve police officers’ safety while driving.
HSI lab in collaboration with North Carolina State University (NCSU) biomedical engineering and University of Florida (UF) industrial and systems engineering departments were awarded a grant to study cognitive load of electromyography (EMG)-based human-machine interfaces (HMIs). The objective of this collaborative work is to identify differences in cognitive load between different EMG-based HMIs for systems supporting motor skill rehabilitation and activities of daily living for special populations.
Our driving simulator has 270 field of view (FOV) which very few simulators in the country can provide. This unique feature allows studying a wide range of surface transportation problems. In addition, the simulator is capable of modeling variety of simulations such as emergency vehicle interactions, autonomous vehicle control, different weather and visual conditions, etc. This is a high-fidelity driving simulator which provides a driving experience similar to real-world test environments. For more information regarding this simulator, please contact Dr. Maryam Zahabi at mzahabi@tamu.edu
HSI Lab in collaboration with Drs. Xudong Zhang (ISEN) and Stephen Crouse (health and Kinesiology) were awarded a T3 grant to study emergency response interactions with in-vehicle technologies. The objective of this study is to identify the most physically and cognitively demanding human-technology interactions in emergency vehicles using state-of-the-art biomechanical and cognitive performance modeling techniques.
