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Benton, J., Smith, D. E., Kaneshige, J., Keely, L., & Stucky, T. 2018, Chap-e: A plan execution assistant for pilots.. Paper presented at ICAPS. |
Resource type: Proceedings Article BibTeX citation key: Benton2018 View all bibliographic details |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Decision Theory, Education, Engineering, General, Military Science Subcategories: Augmented cognition, Decision making, Edge AI, Human decisionmaking, Human factors engineering, Machine learning, Pilot Training Creators: Benton, Kaneshige, Keely, Smith, Stucky Publisher: Collection: ICAPS |
Attachments |
Abstract |
Pilots have benefited from ever-increasing and evolving au- tomation techniques for many decades. This automation has allowed pilots to handle increasingly complex aircraft with greater safety, precision, and reduced workload. Unfortu- nately, it can also lead to misunderstandings and loss of situ- ational awareness. In the face of malfunctions or unexpected events, pilots sometimes have an unclear picture of the sit- uation and what to do next, or must find and follow writ- ten procedures that do not take into account all the details of the particular situation. Pilots may also incorrectly as- sume the mode or state of an automated system and fail to perform certain necessary actions that they assumed an auto- mated system would handle. To help alleviate these issues, we introduce the Cockpit Hierarchical Activity Planning and Execution (CHAP-E) system. CHAP-E provides pilots with guidance toward executing procedures based on the aircraft and automation system’s state and assists pilots through both nominal and off-nominal flight situations. |