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Affordant guidance for in-flight loss of control: the trajectory recovery system (TRS)

Published:14 September 2016Publication History

ABSTRACT

This paper describes the early stage research of the Trajectory Recovery System (TRS). TRS provides directly perceivable and actionable aerodynamic performance and recovery information to a pilot in the event of an In-Flight Loss of Control (ILOC) event arising from exceeding the aircraft's critical angle of attack (AOA), ILOC-Stall (ILOC-S). Documented here is the Human Centered Design (HCD) approach that was utilized to conceptualize, formalize, and select TRS design options. As a Joint Cognitive System (JCS), TRS architecture provides for fluid multi-agent interaction for optimum aerospace system vehicle performance. Therefore, the human-agent model for interaction that theoretically supports TRS is described. Prototyping history, from wireframe to a Wizard-of-Oz test bed, to an aerodynamically optimized algorithm animating a functionally flyable prototype is reported.

References

  1. Aerodynamics and Flight Mechanics: MAE 3241, 2014. Retrieved November 16, 2015, from Department of Mechanical and Aerospace Engineering, Florida Institute of Technology.Google ScholarGoogle Scholar
  2. Andre, A.D., Wickens, C.D. 1990. Information Processing and Perceptual Characteristics of Display Design: The Role of emergent Features and Objects. (No. HEL-TM-7-90). Human Engineering Lab, Aberdeen Proving GroundGoogle ScholarGoogle Scholar
  3. Belcastro, C.M. and Foster, J.V. 2010. Aircraft loss-of-control accident analysis. Proceedings of AIAA Guidance, Navigation and Control Conference, Toronto, Canada, Paper No. AIAA-2010-8004.Google ScholarGoogle ScholarCross RefCross Ref
  4. Boeing Commercial Airplanes. 2011. Statistical Summary of Commercial Jet Airplane Accidents, Worldwide Operations. 1959--2011.Google ScholarGoogle Scholar
  5. Boy, G.A. 2013. The Making of Complex Systems. In Orchestrating human-centered design, G.A. BOY, Ed. Springer, New York, 89--115.Google ScholarGoogle Scholar
  6. Boy, G.A. 1998. Cognitive Function Analysis. Ablex Publishing Corporation.Google ScholarGoogle Scholar
  7. Briere, D. and Traverse, P. 1993. Airbus A320/A330/A340 electrical flight controls-a family of fault-tolerant systems. In Fault-Tolerant Computing, 1993. FTCS-23. Digest of Papers., The Twenty-Third International Symposium on, Anonymous IEEE, 616--623.Google ScholarGoogle Scholar
  8. Dehais, F., Tessier, C. and Chaudron, L. 2003. Ghost: experimenting countermeasures for conflicts in the pilot's activity.Google ScholarGoogle Scholar
  9. Dehais, F., Tessier, C., Christophe, L. and Reuzeau, F. 2010. The perseveration syndrome in the pilot's activity: guidelines and cognitive countermeasures. In Human Error, Safety and Systems Development, Anonymous Springer, 68--80. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Gibson, J.J. (1986). The Ecological Approach to Visual Perception. Taylor & Francis, Boca RatonGoogle ScholarGoogle Scholar
  11. Kasdaglis, N., Newton, O. and Lakhmani, S. 2014. System State Awareness A Human Centered Design Approach to Awareness in a Complex World. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Anonymous SAGE Publications, 305--309.Google ScholarGoogle Scholar
  12. Kasdaglis, N., Bernard, T. and Stowers, K. Trajectory Recovery System: Angle of Attack Guidance for Inflight Loss of Control. In 18th International Conference on Human-Computer Interaction, HCII 2016, Toronto (In Press).Google ScholarGoogle Scholar
  13. Rasmussen, J. 1983. Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Transactions on Systems, Man, and Cybernetics SMC-13, 257--266.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Other conferences
    HCI-Aero '16: Proceedings of the International Conference on Human-Computer Interaction in Aerospace
    September 2016
    157 pages
    ISBN:9781450344067
    DOI:10.1145/2950112

    Copyright © 2016 ACM

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    New York, NY, United States

    Publication History

    • Published: 14 September 2016

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