The Cognitive Systems Engineering Lab's 25+ researchers are currently working on a plethora of projects ranging from the operating room to the air traffic control tower. We are focused on providing the most cutting-edge approach to safety, maximizing the benefits. Listed in the right column are some of the research projects that members of the lab are currently working on. Click and explore any of the pages to learn more
Human-Machine Teaming, Proactive and Anticipatory Safety, Visual Analytics, Systems Complexity Science: What do they mean?
Unmanned Air Traffic Managment
With the reality of drones being used commercially in large numbers almost certain, the state of Ohio began designing an unmanned air traffic managment (UTM) system to ensure that it would stay on the cutting edge of technology. The lab was asked to work as experts in the Human-Machine Teaming space to work on mitigating risk in contingency managment situations. In collaboration with multiple of the state's experts in the field, the Lab worked to make sure that this will be done safely and efficiently in the state.
OSU’s CSEL performed some of the first research studies on how RAS was changing the operating environment. Most notably, these projects were the first to quantify the skill and cognitive changes required success between RAS and its predecessor technique, laparoscopy. This pioneering research lead to changes in the way clinicians are trained for participation in RAS procedures as well as the development of new cooperation safety protocols for the protection of staff assisting the surgeon while the robot is in use.
We research and design and clinical alarm systems that reflect the events they signal and support physician and clinician sensemaking.
Through visual analytics and human-machine teaming principles, we leverage advancing technology to improve physicians' and clinicians' abilities to monitor their patients.
As NASA-funded research, this project entailed the development of a novel process for the evaluation of the expected performance resiliency of small drones in the domestic airspace. We sought to ensure that small drones become increasingly incorporated into daily aviation activities and their system designed all for their safe operation under the widest possible range of conditions. The product technique, the resiliency trade-space analysis, can be used to help system designs and operator understand how to best deploy their limited resources to greatest effect with regard to the resilience of the system.
Accidents and disasters - whether natural disasters, mass casualty incidents, industry accidents, or others - draw on our emergency response systems in unexpected ways. Resiliency and strategies to cope with complexity are paramount to managing effects of these disasters. Drawing on our experiences from a variety of domains, CSEL studies disaster response and consults in disaster planning.
As founders and key figures in the evolution of Cognitive Systems Engineering, we have abstracted our research into patterns of complexity and resilience that are applicable across domains to improving performance. Several of these contributions are seminal to the field.
Although all types of analytic processes, from those in scientific research to those used in legal analysis, purport to encourage high degrees of rigor, little legitimate research has been done to explore what the attributes of rigor might be or what processes are most likely to produce high quality analysis. CSEL’s rigor research was the first to do just that.