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Considerations in Determining Human-Robot Ratio

Published:01 April 2020Publication History

ABSTRACT

With the increasing level of system autonomy, the Human-Robot Ratio (HRR) can potentially be increased for more efficient operations. The HRR can be used to inform the plausible team structure in the real-world operations. However the computation of HRR can be inferred from various sources, such as human and mission performances. A small-scale study was conducted to understand how these measurements could be interpreted and used to inform the optimal HRR. The result shows that the proposed HRR derived from the human and mission performance might not be the same, suggesting that various mission-centric and human-centric factors must be considered before an optimal HRR could be derived.

References

  1. Kok Hoo Lee, Kenny Wei Liang Chua, Danny Shu Ming Koh, and Angela Li Sin Tan. 2018. Team Cognitive Walkthrough: Fusing Creativity and Effectiveness for a Novel Operation. In Congress of the International Ergonomics Association. Springer, Cham, 10 pages.Google ScholarGoogle Scholar
  2. Iulisloi Zacarias, Cafrlos E. T. Leite, Janana Schwarzrock, and Edison P. de Freitas. 2016. Control Platform for Multiple Unmanned Aerial Vehicles. IFAC-PapersOnLine. 7 pages.Google ScholarGoogle Scholar
  3. Aaron Steinfeld, Terrence Fong, David Kaber, Michael Lewis, Jean Scholtz, Alan Schultz and Michael Goodrich. 2006. Common metrics for human-robot interaction. In Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction. ACM. Salt Lake City, Utah, USA, 8 pages.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Dan R. Olsen Jr. and Stephen Bart Wood. 2004. Fan-out: measuring human control of multiple robots. In Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, Vienna, Austria, 8 pages.Google ScholarGoogle Scholar
  5. Dan R. Olsen Jr., Stephen Bart Wood and Jonathan Turner. 2004. Metrics for human driving of multiple robots. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'04). 6 pages.Google ScholarGoogle ScholarCross RefCross Ref
  6. Sandra G. Hart and Lowell E. Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Hancock, P. and Meshkati, N. eds. Human Mental Workload, North-Holland Elsevier Science.Google ScholarGoogle Scholar
  7. Rebecca A. Grier, 2015. How high is high? A meta-analysis of NASA-TLX global workload scores. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting Sage. Los Angeles, California, USA, 5 pages.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Conferences
      HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
      March 2020
      702 pages
      ISBN:9781450370578
      DOI:10.1145/3371382

      Copyright © 2020 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 April 2020

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