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Measuring operator anticipatory inputs in response to time-delay for teleoperated human-robot interfaces

Published:26 April 2014Publication History

ABSTRACT

Many tasks call for efficient user interaction under time delay-controlling space instruments, piloting remote aircraft and operating search and rescue robots. In this paper we identify an underexplored design opportunity for building robotic teleoperation user interfaces following an evaluation of operator performance during a time-delayed robotic arm block-stacking task in twenty-two participants. More delay resulted in greater operator hesitation and a decreased ratio of active to inactive input. This ratio can serve as a useful proxy for measuring an operator's ability to anticipate the outcome of their control inputs before receiving delayed visual feedback. High anticipatory input ratio (AIR) scores indicate times when robot operators enter commands before waiting for visual feedback. Low AIR scores highlight when operators must wait for visual feedback before continuing. We used this measurement to help us identify particular sub-tasks where operators would likely benefit from additional support.

References

  1. Imaida, Takashi, et al. "Ground-space bilateral teleoperation of ETS-VII robot arm by direct bilateral coupling under 7-s time delay condition." Robotics and Automation, IEEE Transactions on 20.3 (2004)Google ScholarGoogle ScholarCross RefCross Ref
  2. Wilcox, Brian H. "Robotic vehicles for planetary exploration." Applied Intelligence 2.2 (1992): 181--193.Google ScholarGoogle ScholarCross RefCross Ref
  3. Norman, Donald A. "Design rules based on analyses of human error." Communications of the ACM 26.4 (1983): 254--258. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Sorensen, Khalid L., Joshua B. Spiers, and William E. Singhose. "Operational effects of crane interface devices." Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on. IEEE, 2007.Google ScholarGoogle Scholar
  5. International Organization for Standardization, 2011, ISO 7752/2--2011/Addendum 1 Lifting Appliances, Controls, Layout and Characteristics. Part 2: Basic Arrangement and Requirements for Mobile Cranes.Google ScholarGoogle Scholar
  6. Sheridan, Thomas B. "Space teleoperation through time delay: review and prognosis." Robotics and Automation, IEEE Transactions on 9.5 (1993): 592--606.Google ScholarGoogle ScholarCross RefCross Ref
  7. Bejczy, Antal K., et al. "Role of computer graphics in space telerobotics: Preview and predictive displays." Fibers' 91, Boston, MA. SPIE, 1991.Google ScholarGoogle Scholar
  8. Veltman, Hans, and Arjen Oving. Augmenting camera images for operators of unmanned aerial vehicles. No. RTO-MP-088. HUMAN FACTORS RESEARCH INST TNO SOESTERBERG (NETHERLANDS), 2003.Google ScholarGoogle Scholar
  9. Thurling, Andrew J. Improving UAV handling qualities using time delay compensation. No. AFIT/GAB/ENY/00M-01. AIR FORCE INST OF TECH WRIGHT-PATTERSONAFB OH, 2000.Google ScholarGoogle Scholar
  10. de Vries, S. C. UAVs and control delays. No. TNODV3--2005-A054. TNO DEFENCE SECURITY AND SAFETY SOESTERBERG (NETHERLANDS), 2005.Google ScholarGoogle Scholar
  11. O'HARA, KENTON P., and Stephen J. Payne. "Planning and the user interface: The effects of lockout time and error recovery cost." International Journal of Human-Computer Studies 50.1 (1999): 41--59. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Lane, J. Corde, Craig R. Carignan, and David L. Akin. "Advanced operator interface design for complex space telerobots." Autonomous robots 11.1 (2001): 49--58. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Dix, Alan J. "The Myth of the Infinitely Fast Machine." BCS HCI. 1987. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Steinfeld, Aaron, et al. "Common metrics for humanrobot interaction." Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction. ACM, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Steinfeld, Aaron. "Interface lessons for fully and semiautonomous mobile robots." Robotics and Automation, 2004. Proceedings. ICRA'04. 2004 IEEE International Conference on. Vol. 3. IEEE, 2004.Google ScholarGoogle Scholar
  16. Niemeyer, Günter, and Jean-Jacques E. Slotine. "Telemanipulation with time delays." The International Journal of Robotics Research 23.9 (2004): 873--890.Google ScholarGoogle ScholarCross RefCross Ref
  17. Held, Richard, and Nathaniel Durlach. "Telepresence, time delay and adaptation." Pictorial communication in virtual and real environments (1991): 232--246. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Chen, Jessie YC, Ellen C. Haas, and Michael J. Barnes. "Human performance issues and user interface design for teleoperated robots." Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on 37.6 (2007): 1231--1245. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Kaber, David B., et al. "Effects of visual interface design, and control mode and latency on performance, telepresence and workload in a teleoperation task." Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Vol. 44. No. 5. SAGE Publications, 2000Google ScholarGoogle Scholar

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      cover image ACM Conferences
      CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2014
      4206 pages
      ISBN:9781450324731
      DOI:10.1145/2556288

      Copyright © 2014 ACM

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      Publication History

      • Published: 26 April 2014

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      CHI '14 Paper Acceptance Rate465of2,043submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

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