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Aviation Safety: Integrated Intelligent Flight Deck Technologies Banner


RESEARCH ACTIVITIES: DISPLAYS AND DECISION SUPPORT
The availability of information to the users of NextGen via a ‘Net-Centric’ capability is intended to improve decision making, safety, and operational efficiency. On the flight deck, pilots and automation will have access to information that may come from many sources, including on-board sensors and databases, communication channels (both voice and data link), and even other users. Most, if not all, of this information must be analyzed extensively by either humans or automated functions to convert raw observations/data into useful information. However, current research results highlight the potential to overload the human with extraneous information, as well as the potential to inadvertently distort decision making through its representation and presentation. In addition, many aspects of pilot decision making will need to be collaborative with air traffic controllers and traffic flow managers, other pilots, and other entities such as airline operations centers. Multi-disciplinary solutions are needed to support pilot decisions that will often need to be made under time-pressure and in critical situations, and based on uncertain information coming from, potentially, a number of sources. Research conducted in the DDS element addresses three operational challenges that require new display and decision support solutions and are of critical interest to the Aviation Safety Program:
  1. achieving a "Better Than Visual (BTV)" flight operations capability;
  2. providing Integrated Alerting and Notification (IAN); and,
  3. enabling a highly Collaborative Working Environment (CWE) for flight deck system operators.
These three challenges, or capability goals, allow for stressing three associated fundamental flight deck system research issues, conveying large volumes of information effectively, information management and integrity, and effective communication and collaboration among decision-makers.


Associate Principal Investigator: Randall Bailey



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