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Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment

  • Víctor Rodríguez-Fernández
  • Héctor D. Menéndez
  • David Camacho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9422)

Abstract

The study of Unmanned Aerial Vehicles (UAVs) is currently a growing area. The accelerated expansion of these technologies is demanding the work of more and more qualified operators, able to supervise and control multiple UAVs at the same time. Unfortunately, the training process for this type of systems is still unstructured, and it is needed to define methods to assess and classify operators in the context of a specific skill, for both novice users and experts. This work is focused on analyzing the planning and monitoring skills of inexperienced users in a multi-UAV simulation environment, through the use of a set of metrics capturing the performance of a user and defining its profile. The user profiles will be clustered to extract shared behavioral patterns that help us to decide the planning and monitoring level for each group of users, and to select potential operators.

Keywords

UAVs Human-Machine Interaction Computer-based simulation Planning Performance metrics Clustering Behavioral patterns 

Notes

Acknowledgments

This work is supported by the Spanish Ministry of Science and Education under Project Code TIN2014-56494-C4-4-P, Comunidad Autonoma de Madrid under project CIBERDINE S2013/ICE-3095, and Savier an Airbus Defense & Space project (FUAM-076914 and FUAM-076915). The authors would like to acknowledge the support obtained from Airbus Defence&Space, specially from Savier Open Innovation project members: José Insenser, Gemma Blasco, Juan Antonio Henríquez and César Castro.

References

  1. 1.
    Begis, G.: Adaptive gaming behavior based on player profiling. US Patent US6106395 A (2000)Google Scholar
  2. 2.
    Boussemart, Y., Cummings, M.L., Fargeas, J.L., Roy, N.: Supervised vs. unsupervised learning for operator state modeling in unmanned vehicle settings. J. Aerosp. Comput. Inf. Commun. 8(3), 71–85 (2011)CrossRefGoogle Scholar
  3. 3.
    Datta, S., Datta, S., Pihur, V., Brock, G.: clValid: an R package for cluster validation. J. Stat. Softw. 25(4), (2008). American Statistical AssociationGoogle Scholar
  4. 4.
    Dixon, S.R., Wickens, C.D., Chang, D.: Unmanned aerial vehicle flight control: False alarms versus misses. In: Human Factors and Ergonomic Society 48th Annual Meeting (2004)Google Scholar
  5. 5.
    Drury, J.L., Scholtz, J., Yanco, H.A.: Awareness in human-robot interactions. In: IEEE International Conference on Systems, Man and Cybernetics, 2003, vol. 1, pp. 912–918. IEEE (2003)Google Scholar
  6. 6.
    Hartigan, J.A., Wong, M.A.: Algorithm as 136: A k-means clustering algorithm. Appl. Stat. 28, 100–108 (1979)MATHCrossRefGoogle Scholar
  7. 7.
    Kaufman, L., Rousseeuw, P.: Clustering by means of medoids (1987)Google Scholar
  8. 8.
    Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis, vol. 344. Wiley, New York (2009)Google Scholar
  9. 9.
    Kendoul, F.: Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems. J. Field Robot. 29(2), 315–378 (2012)CrossRefGoogle Scholar
  10. 10.
    McKinley, R.A., McIntire, L.K., Funke, M.A.: Operator selection for unmanned aerial systems: comparing video game players and pilots. Aviat. Space, Environ. Med. 82(6), 635–642 (2011)CrossRefGoogle Scholar
  11. 11.
    Pavlas, D., Burke, C.S., Fiore, S.M., Salas, E., Jensen, R., Fu, D.: Enhancing unmanned aerial system training: A taxonomy of knowledge, skills, attitudes, and methods. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 53, pp. 1903–1907. SAGE Publications (2009)Google Scholar
  12. 12.
    Rodríguez-Fernández, V., Atencia, C.R., Camacho, D.: A Multi-UAV mission planning videogame-based framework for player analysis. In: 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE (2015, in Press)Google Scholar
  13. 13.
    Rodríguez-Fernández, V., Menéndez, H.D., Camacho, D.: Design and development of a lightweight multi-UAV simulator. In: 2015 IEEE International Conference on Cybernetics (CYBCONF). IEEE (2015, in Press)Google Scholar
  14. 14.
    Stulberg, A.N.: Managing the unmanned revolution in the us air force. Orbis 51(2), 251–265 (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Víctor Rodríguez-Fernández
    • 1
  • Héctor D. Menéndez
    • 2
  • David Camacho
    • 1
  1. 1.Universidad Autónoma de Madrid (UAM)MadridSpain
  2. 2.University College London (UCL)LondonUK

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