Expected impact

  1. A comprehensive literature review of the state-of-the-art in the area of research, together with previous experiences on pilot acceptability of new technologies in the cockpit and collected information of unexpected and very complex situations will define the scope of case studies and the supporting technologies to be developed in WP2, WP3 and WP4. Research on affordability, social acceptance, regulations and technology perspectives will contribute to the e-pilot
  2. Results on WP4 FRAM model will support a better understanding of the issues created at the intersections of the different cockpit functionalities and task (both human and machine performed) which opens a window of opportunity to identify which extend PM task in multicrew cockpit could be supported by the e-pilot and which tasks requires further research and new technologies to support a more autonomous cockpit.
  3. Overload and underload can impair crew member alertness and abilities to safely operate an aircraft or perform safety related duties. Cockpit operations will be enhanced with a safety net relying on WP4 ontology in which e-pilot will preserve pilot workload and performance inside dynamic boundaries.
  4. The envisaged evolution of the e-pilot concept will be driven by the results achieved during validation exercises reaching a consensus among the different stakeholders. A technological roadmap will describe the cognitive computing developments required to support the proposed operational concepts.
  5. The quality of the e-pilot support in the different scenarios will be measured using correctness, completeness, credibility, and/or relevance indicators that will be validated in WP5. The feedback will be used to identify the barriers and the enablers for a digital assistant in cockpit operations and elaborate valuable information for the roadmap.
  6. A set of dissemination tasks to exploit the results achieved in the use cases elaborated to check e-pilot functionalities in a cockpit simulator with experimented and young pilots will be described and properly fit in the dissemination plan to pave the way for a better acceptability of cognitive assistant.
  7. Technology acceptability in a very demanding context as it is the cockpit operations requires a particular analysis and consensus among different stakeholders considering also the importance to influence the passenger’s opinion. Several socio-technological challenges will be identified during the validation exercises that could prevent the e-pilot concept deployment.
  8. Bringing Cognitive Computing into the aviation domain requires a deep understanding of the intertwining of systems and humans in cockpit operations. In this sense, the project will contribute in two key areas. The first one is to incorporate into the analysis of the state-of-the-art in cognitive computing the lessons learned from their incorporation into other safety-critical systems. The second one is related to the incorporation of the human at the centre of the development of the project, exploring with modelling and simulation the pilot emergent cognitive behaviour that arise when new systems are incorporated.