Cockpit operations of large commercial aircraft such as the A350, A380 or A320, or similar, will be analysed along 2 directions: the pilot [“man in the loop”] interaction with the systems and the nature of information delivered. The analysis should allow for identifying specific in-flight conditions, related pilot behaviour, and how data is interpreted, and how and when collaborative / assisted decisions are made. This task will also devise initial case studies deemed relevant to extrapolate the potential of cognitive computing and to demonstrate how they will offer a significant aid to the pilot. The knowledge gained will help developing the initial concept for a digital assistant function supporting full or reduced flight crews.
This deliverable will present a state of the art of cognitive computing applied in cockpit, healthcare and other relevant fields for the project. The state of the art will collect the most relevant papers and projects related to machine learning and artificial intelligence algorithms and the application of these alrogithms. This state of the art will set the basis for the project in order to explore the use cases and produce the roadmap that will be included in later deliverables.
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