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Towards combining UAV and sensor operator roles in UAV-enabled visual search

Published:12 March 2008Publication History

ABSTRACT

Wilderness search and rescue (WiSAR) is a challenging problem because of the large areas and often rough terrain that must be searched. Using mini-UAVs to deliver aerial video to searchers has potential to support WiSAR efforts, but a number of technology and human factors problems must be overcome to make this practical. At the source of many of these problems is a desire to manage the UAV using as few people as possible, so that more people can be used in ground-based search efforts. This paper uses observations from two informal studies and one formal experiment to identify what human operators may be unaware of as a function of autonomy and information display. Results suggest that progress is being made on designing autonomy and information displays that may make it possible for a single human to simultaneously manage the UAV and its camera in WiSAR, but that adaptable displays that support systematic navigation are probably needed.

References

  1. A. L. Alexander and C. D. Wickens. Synthetic vision systems: Flightpath tracking, situation awareness, and visual scanning in an integrated hazard display. In Proceedings of the 13th International Symposium on Aviation Psychology, 2005.Google ScholarGoogle Scholar
  2. M. Baker, R. Casey, B. Keyes, and H. A. Yanco. Improved interfaces for human-robot interaction in urban search and rescue. In Proceedings of the IEEE Conference on Systems, Man and Cybernetics, The Hauge, The Netherlands, October 2004.Google ScholarGoogle ScholarCross RefCross Ref
  3. R. Beard, D. Kingston, M. Quigley, D. Snyder, R. Christiansen, W. Johnson, T. McLain, and M. A. Goodrich. Autonomous vehicle technologies for small xed-wing UAVs. Journal of Aerospace Computing, Information, and Communication, 2, 2005.Google ScholarGoogle Scholar
  4. F. Bourgault, T. Furukawa, and H. F. Durrant-Whyte. Coordinated decentralized search for a lost target in a Bayesian world. In Proceedings of the 2003 IEEE/RSJ International Conference on Intel ligent Robots and Systems, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  5. J. L. Burke and R. R. Murphy. Human-robot interaction in USAR technical search: Two heads are better than one. In Proceedings of the 13th International Workshop on Robot and Human Interactive Communication (RO-MAN), 2004.Google ScholarGoogle ScholarCross RefCross Ref
  6. G. L. Calhoun, M. H. Draper, M. F. Abernathy, M.Patzek, and F. Delgado. Synthetic vision system for improving unmanned aerial vehicle operator situation awareness. In J. G Verly, editor, Proceedings of SPIE Vol 5802, in Enhanced and Synthetic Vision 2005, 2003.Google ScholarGoogle Scholar
  7. J. Casper and R. R. Murphy. Human-robot interactions during the robot-assisted urban search and rescue response at the world trade center. IEEE Transactions on Systems, Man and Cybernetics, Part B, 33(3):367--385, June 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. N. J. Cooke, H. Pringle, H. Pederson, and O. Connor, editors. Human Factors of Remotely Operated Vehicles, volume 7 of Advances in Human Performance and Cognitive Engineering Research. Elsevier, 2006.Google ScholarGoogle Scholar
  9. M. L. Cummings. Designing decision support systems for a revolutionary command and control domains. Doctoral dissertation, University of Virginia, 2003.Google ScholarGoogle Scholar
  10. J. L. Drury, J. Richer, N. Racklie, and M. A. Goodrich. Comparing situation awareness for two unmanned aerial vehicle human interface approaches. In Proceedings of the IEEE International Workshop on Safety, Security and Rescue Robotics (SSRR), August 2006.Google ScholarGoogle Scholar
  11. J. L. Drury, J. Scholtz, and H. A. Yanco. Awareness in human-robot interactions. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, October 2003.Google ScholarGoogle ScholarCross RefCross Ref
  12. T. Goetzendorf-Grabowski, A. Frydrychewicz, Z. Gora j, and S. Suchodolski. MALE UAV design of an increased reliability level. Aircraft Engineering and Aerospace Technology, 78(3):226--235, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  13. M. A. Goodrich, L. Cooper, J. A. Adams, C Humphrey, R. Zeeman, and B. G. Buss. Using a mini-uav to support wilderness search and rescue: Practices for human-robot teaming. In Proceedings of the IEEE International Workshop on Safety, Security, and Rescue Robotics, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  14. M. A. Goodrich, B. S. Morse, D. Gerhardt, J. L. Cooper, J. A. Adams, C. Humphrey, and M.Quigley. Supporting wilderness search and rescue using a camera-equipped mini uav. Journal of Field Robotics, 2007. To appear. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. P. A. Hancock, M. Mouloua, R. Gilson, J. Szalma, and T. Oron-Gilad. Is the UAV control ratio the right question? Ergonomics in Design, 2006.Google ScholarGoogle Scholar
  16. S. Hansen, T. McLain, and M. Goodrich. Probabilistic searching using a small unmanned aerial vehicle. In Proceedings of AIAA Infotech@Aerospace, May 2007.Google ScholarGoogle ScholarCross RefCross Ref
  17. Manning the unmanned. In 2004 Human Factors of UAVs Workshop, Chandler, Arizona, May 2004. Cognitive Engineering Research Institute.Google ScholarGoogle Scholar
  18. C. Jansen, S. de Vries, and M. Duistermaat. Optimizing the presentation of UAV images in an attack helicopter cockpit. In Proceedings of the Human Factors and Ergonomics Society 50th Annual Meeting--2006, pages 131--135, San Francisco, CA, USA, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  19. D. B. Kaber and M. R. Endsley. The eects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task. Theoretical Issues in Ergonomics Science, 5(2):113--153, March-April 2004.Google ScholarGoogle ScholarCross RefCross Ref
  20. B. O. Koopman. Search and Screening: General Principles with Historical Applications. Pergamon Press, 1980. This book has been reprinted in its entirety in 1999 by the Military Operations Research Society, Inc.Google ScholarGoogle Scholar
  21. T. W. McLain and R. W. Beard. Unmanned air vehicle testbed for cooperative control experiments. In Proceedings of the American Control Conference, June/July 2004.Google ScholarGoogle ScholarCross RefCross Ref
  22. C. A. Miller, H. B. Funk, M. Dorneich, and S. D. Whitlow. A playbook interface for mixed initiative control of multiple unmanned vehicle teams. In Proceedings of the 21st Digital Avionics Systems Conference, volume 2, pages 7E4-1-7E4-13, November 2002.Google ScholarGoogle ScholarCross RefCross Ref
  23. P. M. Mitchell and M. L. Cummings. Management of multiple dynamic human supervisory control tasks. In 10th International Command and Control Research And Technology Symposium, 2005.Google ScholarGoogle Scholar
  24. R. Murphy, S. Stover, K. Pratt, and C. Griffin. Cooperative damage inspection with unmanned surface vehicle and micro unmanned aerial vehicle at hurricane Wilma. IROS 2006 Video Session, October 2006.Google ScholarGoogle ScholarCross RefCross Ref
  25. C. W. Nielsen, M. A. Goodrich, and B. Ricks. Ecological interfaces for improving mobile robot teleoperation. IEEE Transactions on Robotics, 23(5):927--941, October 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. D. R. Olsen Jr. and S. B. Wood. Fan-out: Measuring human control of multiple robots. In Proceedings of Human Factors in Computing systems, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. L. J. Prinzel, J. R. Comstock Jr., L. J. Glaab, L. J. Kramer, and J. J. Arthur. The efficacy of head-down and head-up synthetic vision display concepts for retro-and forward-fit of commercial aircraft. The International Journal of Aviation Psychology, 14(1):53--77, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  28. T. J. Setnicka. Wilderness Search and Rescue. Appalachian Mountain Club, 1980.Google ScholarGoogle Scholar
  29. T. B. Sheridan and W. L. Verplank. Human and computer control of undersea teleoperators. Technical report, MIT Man-Machine Systems Laboratory, 1978.Google ScholarGoogle ScholarCross RefCross Ref
  30. D. L. Still and L. A. Temme. OZ: A human-centered computing cockpit display. In The Interservice/Industry Training, Simulation and Education Conference (I/ITSEC, 2001.Google ScholarGoogle Scholar
  31. K. S. Tao, G. K. Tharp, W. Zhang, and A. T. Tai. A multi-agent operator interface for unmanned aerial vehicles. In Proceedings 18th Digital Avionics Systems Conference, 1999.Google ScholarGoogle ScholarCross RefCross Ref
  32. C. D. Wickens, O. Olmos, A. Chudy, and C. Davenport. Aviation display support for situation awareness. Technical Report ARL-97-10/LOGICON-97-2, Aviation Research Lab, University of Illinois at Urbana-Champaign, 1995.Google ScholarGoogle Scholar
  33. C. D. Wickens and T. T. Prevett. Exploring the dimensions of egocentricity in aircraft navigation displays. Journal of Experimental Psychology: Applied, 1(2):110--135, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  34. Wikipedia. Carrot and Stick Description. http://en.wikipedia.org/wiki/Carrot and stick.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      HRI '08: Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
      March 2008
      402 pages
      ISBN:9781605580173
      DOI:10.1145/1349822

      Copyright © 2008 ACM

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      Publication History

      • Published: 12 March 2008

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