Abstract
There are technical trends and operational needs within the aviation domain towards adaptive behavior. This study focus on adaptive interaction criteria for future remotely piloted aircraft. Criteria that could be used to guide and evaluate design as well as to create a model for adaptive interaction used by autonomous functions and decision support. A scenario and guidelines from the literature, used as example criteria, was presented in a questionnaire to participants from academia/researchers, end users, and aircraft development engineers. Several guidelines had a wide acceptance among the participants, but there was also aspects missing for the application of supporting adaptive interaction for remotely piloted aircraft. The various groups of participants contributed by different aspects supports the idea of having various stakeholders contributing with complementary views. Aspects that the participants found missing includes, predictability, aviation domain specifics, risk analysis, complexity and how people perceive autonomy and attribute intentions.
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References
Banbury, S., Gauthier, M., Scipione, A., Hou, M.: Intelligent Adaptive Systems—Literature-Research of Design Guidance for Intelligent Adaptive Automation and Interfaces. CR 2007-075, Defence Research and Development, Canada (2007)
Wickens, C.D., Clegg, B.A., Vieane, A.Z., Sebok, A.L.: Complacency and automation bias in the use of imperfect automation. Hum. Factors 57, 397–406 (2015)
Durso, F.T., Stearman, E.J., Morrow, D.G., Mosier, K.L., Fischer, U., Pop, V.L., Feigh, K.M.: Exploring relationships of human-automation interaction consequences on pilots—uncovering subsystems. Hum. Factors 57, 965–975 (2015)
Wilson, G.F., Russel, C.A.: Performance enhancement in an uninhabited air vehicle task using psychophysiologically determined adaptive aiding. Hum. Factors 49, 1005–1018 (2007)
Christensen, J.C., Estepp, J.R.: Coadaptive aiding and automation enhance operator performance. Hum. Factors 55, 965–975 (2013)
Parasuraman, R., Cosenzo, K.A., De Visser, E.: Adaptive automation for human supervision of multiple uninhabited vehicles: effects on change detection, situation awareness, and mental workload. Mil. Psychol. 21, 270–297 (2009)
Alfredson, J., Hagström, P., Sundqvist, B.-G.: Situation awareness for mid-air detect-and-avoid system for remotely piloted aircraft. In: AHFE 2015, Las Vegas, pp. 1014–1021 (2015)
Steinhauser, N.B., Pavlas, D., Hancock, P.A.: Design principles for adaptive automation and aiding. Ergonomics Des. 17, 6–10 (2009)
Gutzwiller, R.S., Lange, D.S., Reeder, J., Morris, R.L., Rodas, O.: Human-computer collaboration in adaptive supervisory control and function allocation of autonomous system teams. In: HCI 2015, Los Angeles, pp. 447–456 (2015)
Johnson, A.W., Oman, C.M., Sheridan, T.B., Duda, K.R.: Dynamic task allocation in operational systems: issues, gaps, and recommendations. In: Aerospace conference 2014, Big Sky, Montana, pp. 1–15 (2014)
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This project is financially supported by the Swedish Foundation for Strategic Research.
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Alfredson, J. (2017). Adaptive Interaction Criteria for Future Remotely Piloted Aircraft. In: Savage-Knepshield, P., Chen, J. (eds) Advances in Human Factors in Robots and Unmanned Systems. Advances in Intelligent Systems and Computing, vol 499. Springer, Cham. https://doi.org/10.1007/978-3-319-41959-6_23
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DOI: https://doi.org/10.1007/978-3-319-41959-6_23
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