Description: Neuroergonomics is an interdisciplinary field that studies the interaction between humans and machines, focusing on brain function. Its main objective is to optimize the design of systems and technological tools to improve user efficiency, safety, and well-being. By applying principles from neuroscience, psychology, and ergonomics, neuroergonomics seeks to understand how cognitive and emotional processes influence human-machine interaction. This approach allows for the identification of user needs and limitations, facilitating the creation of more intuitive interfaces tailored to how the human brain processes information. Neuroergonomics also considers factors such as attention, memory, and cognitive load, which are crucial in environments where precision and speed are essential, such as aviation, medicine, and driving. In summary, neuroergonomics not only focuses on system usability but also aims to promote a smoother and more natural experience, aligning technology with the capabilities and characteristics of the human brain.
History: The term ‘neuroergonomics’ was coined in the 1990s when researchers began exploring the intersection between neuroscience and ergonomics. As technology advanced, the need to understand how human cognitive capabilities could influence system design became evident. In 1997, the first symposium on neuroergonomics was held, marking a milestone in the formalization of this field. Since then, it has evolved with the development of neuroimaging technologies and measurement tools that allow for real-time study of brain activity during interaction with technological devices.
Uses: Neuroergonomics is applied in various areas, including user interface design, operator training in critical environments, and improving workplace safety. It is used to create systems that minimize cognitive load and maximize efficiency, especially in fields such as aviation, medicine, and automotive. It is also employed in researching fatigue and stress in the workplace, helping to design healthier work environments.
Examples: An example of neuroergonomics in action is the use of eye-tracking technologies in the design of airplane cockpits, where pilots’ attention patterns are analyzed to optimize instrument layout. Another case is the development of medical training simulators that use neurophysiological feedback to enhance surgeons’ skills. Additionally, in the automotive field, systems are being implemented that adjust the vehicle interface according to the driver’s cognitive state.
