Charles River Analytics Inc., developer of intelligent systems solutions, has received additional funding from the US Navy to develop an Ecological Advanced Support Interface Toolkit for Heads Up Attention to Improve Warfighter Knowledge (EASI-HAWK). EASI-HAWK provides a set of novel human-machine interfaces so that Navy pilots can more safely perform aerial refueling missions. The two-year EASI-HAWK effort is valued at nearly $1 million.
“Aerial refueling is one of the most demanding and dangerous tasks that pilots perform,” explained Stephanie Kane, Senior Scientist at Charles River Analytics and Principal Investigator on the EASI-HAWK effort. “EASI-HAWK is a prime example of how novel human-machine interfaces can make a direct and tangible impact to improve safety for pilots.”
EASI-HAWK uses auditory, visual, and augmented reality strategies for head-mounted displays that support pilot spatial orientation during challenging missions. Pilots often suffer from “the leans,” a spatial disorientation phenomena caused by continued, long-sustained bank turns during refueling activities. Our multimodal toolkit provides critical spatial orientation cues to pilots, which can augment spatial perception in the cockpit.
In-house cockpit prototyping and demonstration environment (left) using custom configurations with a touchscreen PCD (middle) and see-through helmet (right).
EASI-HAWK complements other techniques and applications we have developed for novel human-machine interfaces, such as our hands-free, multimodal interfaces for medics to capture patient information.
This material is based upon work supported by the Naval Air Warfare Center under Contract No. N68335-18-C-0113. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of NAVAIR. NAVAIR Public Release 2019-354. Distribution Statement A – Approved for public release; distribution is unlimited.
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At Charles River Analytics, we come to work every day because we want to develop technology for the hardest human-machine teaming problems that impact critical operations and decision-making. In 1983, we began focusing on research that leads to results, initially working for the US government. We became an employee-owned company in 2012, setting the stage for the next generation of innovation, service, and growth. Today, we have nearly 200 employees who work on R&D and commercial programs that make a difference for a “who’s who” of government and industry.
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