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8.3 Research Brief Brain-Based Adaptive Automation

8.3 Research Brief   Brain-Based Adaptive Automation

Q The current research literature discusses brain-based (neural) applications that incorporate aspects of adaptive automation. To better understand the next steps needed for extending this knowledge, locate a study completed within the last five (5) years that addresses one or more concerns pertaining specifically to the aviation or aerospace sectors that involves neural systems. Indicate to what extent you believe this study has fulfilled a gap for extending knowledge of neural automation, and what next directions and new work has been identified. Present this as a brief. Your brief should be approximately 800 words in length and should be written in APA format. Save your assignment using a naming convention that includes your first and last name and the activity number (or description). Do not add punctuation or special characters. Your paper will automatically be evaluated through Turnitin when you submit your assignment in this activity. Turnitin is a service that checks your work for improper citation or potential plagiarism by comparing it against a database of web pages, student papers, and articles from academic books and publications. Ensure that your work is entirely your own and that you have not plagiarized any material!

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According to Callan & Dehais (2019), poor levels of system logic can be a major issue for aviation/aerospace sectors involving neural systems. There is scope of initiating changes by the automated system as well as by users in case of utilizing and applying technologies of adaptive automation (Callan & Dehais, 2019). The changes are generally attempted to be made in the different levels at which the mechanism of automation can be actualized. The level of sophistication is extremely important for every automated system because of the challenges which might be faced by the user/system. There can also be advantages of different levels of sophistication.