Abstract
In this article, we describe human automation integration concepts that allow the guidance and the mission management of multiple UCAVs (Unmanned Combat Aerial Vehicles) from aboard a manned single-seat fighter aircraft. The conceptual basis of our approach is dual-mode cognitive automation. This concept uses two distinct modes of human-agent cooperation, a hierarchical relationship with agents working in delegation mode, and a heterarchical relationship with an agent working in assistance mode. For the hierarchical relationship we suggest three delegation modes (team-, intent-, and task-based). The agent in heterarchical relationship, i.e. the assistant system, adapts the operator-assistant system cooperation and the guidance of UCAVs according to the named delegation modes. The adaptation is shaped by the assessment of the operator’s mental state and external situation features. Thereby, we aim at balancing the operator’s activity and work demands. Future research at our institute will concentrate on developing a software prototype for human-in-the-loop experiments.
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References
Chappelle, W.L., McDonald, K., McMillan, K.: Important and Critical Psychological Attributes of USAF MQ-1 Predator and MQ-9 Reaper Pilots According to Subject Matter Experts, pp. 1–35 (2011)
de Freitas, M.M., Cunha, F.S., Ribeiro, A.M.R., Azinheira, J.R., Carvalho, R.J.S., Cabrita Freitas, J., Avalle, M.: UCAV : A Technology Assessment Project as a Complex Problem Case Study (2009)
Meitinger, C., Schulte, A.: Cognitive machine co-operation as basis for guidance of multiple UAVs. In: NATO RTO HFM Symposium on Human Factors of Uninhabited Military Vehicles as Force Multipliers. Biarritz, France (2006)
Meitinger, C., Schulte, A.: Human-UAV co-operation based on artificial cognition. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 91–100 (2009)
Gangl, S., Lettl, B., Schulte, A.: Management of multiple unmanned combat aerial vehicles from a single-seat fighter cockpit in manned-unmanned fighter missions. In: AIAA Infotech@Aerospace (I@A) Conference, pp. 1–18. American Institute of Aeronautics and Astronautics, Reston, Virginia (2013)
Gangl, S.: Kooperative Führung mehrerer unbemannter Luftfahrzeuge aus einem einsitzigen Kampfflugzeug (2015)
Lettl, B., Schulte, A.: Self-explanation capability for cognitive agents on-board of UCAVs to improve cooperation in a manned-unmanned fighter team. In: AIAA Infotech@Aerospace (I@A) Conference, pp. 1–11. American Institute of Aeronautics and Astronautics, Reston, Virginia (2013)
Wiener, E.L.: Cockpit automation. In: Wiener, E.L., Nagel, D.C. (eds.) Human Factors in Aviation, pp. 433–461. Academic Press, London (1988)
Wickens, C.D., Hollands, J.G.: Engineering Psychology and Human Performance. Prentice Hall, Upper Saddle River (2000)
Billings, C.E.: Aviation Automation: The Search for a Human-Centered Approach. Lawrence Erlbaum Associates, Mahwah (1997)
Kaber, D.B., Endsley, M.R.: Out-of-the-loop performance problems and the use of intermediate levels of automation for improved control system functioning and safety. Process Saf. Prog. 16, 126–131 (1997)
Parasuraman, R., Riley, V.: Humans and automation: use, misuse, disuse, abuse. Hum. Factors J. Hum. Factors Ergon. Soc. 39, 230–253 (1997)
Endsley, M.R., Kiris, E.O.: The out-of-the-loop performance problem and level of control in automation. Hum. Factors J. Hum. Factors Ergon. Soc. 37, 381–394 (1995)
Sarter, N.B., Woods, D.D.: Team play with a powerful and independent agent: operational experiences and automation surprises on the Airbus A-320. Hum. Factors J. Hum. Factors Ergon. Soc. 39, 553–569 (1997)
Wiener, E.L., Curry, R.E.: Flight-deck automation: promises and problems. Ergonomics 23, 995–1011 (1980)
Kidwell, B., Calhoun, G.L., Ruff, H.A., Parasuraman, R.: Adaptable and adaptive automation for supervisory control of multiple autonomous vehicles. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 56, 428–432 (2012)
Onken, R., Schulte, A.: System-Ergonomic Design of Cognitive Automation: Dual-Mode Cognitive Design of Vehicle Guidance and Control Work Systems. Springer, Berlin (2010)
Theißing, N.: Designing a support system to mitigate pilot error while minimizing out-of-the-loop-effects. In: 13th Conference on Engineering Psychology and Cognitive Ergonomics. Lecture Notes Computer Science (2016)
Uhrmann, J., Schulte, A.: Task-based guidance of multiple uav using cognitive automation. In: COGNITIVE 2011, The Third International Conference on Advanced Cognitive Technologies and Applications, pp. 47–52 (2011)
Rauschert, A., Schulte, A.: Cognitive and cooperative assistant system for aerial manned-unmanned teaming missions. NATO Res. Technol. Agency, Hum. Factors Med. Panel, Task Gr. HFM-170 Superv. Control Mult. Uninhabited Syst. Methodol. Enabling Oper. Interface Technol. RTO-TR-HFM 170, 1–16 (2012)
Schulte, A., Donath, D., Lange, D.S.: Design patterns for human-cognitive agent teaming. In: 13th Conference on Engineering Psychology and Cognitive Ergonomics. Lecture Notes Computer Science (2016)
Bradshaw, J.M., Feltovich, P.J., Jung, H., Kulkarni, S., Taysom, W., Uszok, A.: Dimensions of adjustable autonomy and mixed-initiative interaction. In: Agents and Computational Autonomy, pp. 17–39. Springer, Berlin (2003)
Schulte, A., Donath, D., Honecker, F.: Human-system interaction analysis for military pilot activity and mental workload determination. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1375–1380. IEEE (2015)
Klein, G., Woods, D.D., Bradshaw, J.M., Hoffman, R.R., Feltovich, P.J.: Ten challenges for making automation a “team player” in joint human-agent activity. IEEE Intell. Syst. 19, 91–95 (2004)
Bevacqua, G., Cacace, J., Finzi, A., Lippiello, V.: Mixed-initiative planning and execution for multiple drones in search and rescue missions. In: ICAPS, pp. 315–323 (2015)
Baxter, J.W., Horn, G.S., Leivers, D.P.: Fly-by-agent: controlling a pool of UAVs via a multi-agent system. Knowledge-Based Syst. 21, 232–237 (2008)
Parasuraman, R., Barnes, M., Cosenzo, K., Mulgund, S.: Adaptive Automation for Human-Robot Teaming in Future Command and Control Systems. DTIC Document (2007)
Greef, T., Lafeber, H., Oostendorp, H., Lindenberg, J.: Eye movement as indicators of mental workload to trigger adaptive automation. In: Schmorrow, D.D., Estabrooke, I.V, Grootjen, M. (eds.) Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: 5th International Conference, pp. 219–228. Springer, Berlin (2009)
Wilson, G.F., Russell, C.A.: Performance enhancement in an uninhabited air vehicle task using psychophysiologically determined adaptive aiding. Hum. Factors J. Hum. Factors Ergon. Soc. 49, 1005–1018 (2007)
Wang, Z., Hope, R.M., Wang, Z., Ji, Q., Gray, W.D.: Cross-subject workload classification with a hierarchical Bayes model. Neuroimage 59, 64–69 (2012)
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Reich, F., Heilemann, F., Mund, D., Schulte, A. (2017). Self-scaling Human-Agent Cooperation Concept for Joint Fighter-UCAV Operations. 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_19
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DOI: https://doi.org/10.1007/978-3-319-41959-6_19
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