Skip to main content
SpringerLink
Log in

Human-Robot Teaming: Concepts and Components for Design

  • Conference paper
  • First Online:
Field and Service Robotics

Part of the book series: Springer Proceedings in Advanced Robotics ((SPAR,volume 5))

Abstract

In the past, robots were used primarily as “tools for humans.” As robotics technology has advanced, however, robots have increasingly become capable of assisting humans as partners, or peers, working together to accomplish joint work. This new relationship creates a new host of interdependencies and teamwork questions that need to be addressed in order for human-robot teams to be effective. In this paper, we define communication, coordination, and collaboration as the cornerstones for human-robot teamwork. We then describe the components of teaming, including agent abilities, taskwork, metrics, and peer-to-peer interactions. Our purpose is to enable system designers to understand the factors that influence teamwork and how to structure human-robot teams to facilitate effective teaming.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Arnold, J.A.: Towards a framework for architecting heterogeneous teams of humans and robots for space exploration. Doctoral dissertation, Massachusetts Institute of Technology (2006)

    Google Scholar 

  2. Breazeal, C.: Social interactions in HRI: the robot view. IEEE Trans. Syst. Man Cybern Part C (Appl. Rev.) 34(2), 181–186 (2004)

    Google Scholar 

  3. Bruemmer, D.J., Dudenhoeffer, D.D., Marble, J.L.: Dynamic-autonomy for urban search and rescue. In: AAAI Mobile Robot Competition, pp. 33–37 (2002)

    Google Scholar 

  4. Bualat, M., Barlow, J., Fong, T., Provencher, C., Smith, T., Zuniga, A.: Astrobee: developing a free-flying robot for the International Space Station. In: AIAA SPACE 2014 Conference and Exposition, vol. 4643 (2015)

    Google Scholar 

  5. Cha, E., Matari, M., Fong, T.: Nonverbal signaling for non-humanoid robots during human-robot collaboration. In: 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 601–602. IEEE (2016)

    Google Scholar 

  6. Desai, M., Yanco, H.A.: Blending human and robot inputs for sliding scale autonomy. In: IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2005, pp. 537–542. IEEE (2005)

    Google Scholar 

  7. Dias, M.B., Goldberg, D., Stentz, A.: Market-based multirobot coordination for complex space applications. In: The 7th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS) (2003)

    Google Scholar 

  8. Dias, M.B.: Traderbots: a new paradigm for robust and efficient multirobot coordination in dynamic environments. Robotics Institute, 153 (2004)

    Google Scholar 

  9. Drury, J.L., Scholtz, J., Yanco, H.A.: Awareness in human-robot interactions. In: IEEE International Conference on Systems, Man and Cybernetics, vol. 1, pp. 912–918. IEEE (2003)

    Google Scholar 

  10. Fiore, S.M.: Interdisciplinarity as teamwork: how the science of teams can inform team science. Small Group Res. 39(3), 251–277 (2008)

    Article  Google Scholar 

  11. Fong, T.: Collaborative control: a robot-centric model for vehicle teleoperation. Technical Report CMU-RI-TR-01-34. Ph.D. dissertation, Robotics Institute, Carnegie Mellon University (2001)

    Google Scholar 

  12. Fong, T., Nourbakhsh, I., Dautenhahn, K.: A survey of socially interactive robots. Robot. Auton. Syst. 42(3), 143–166 (2003)

    Article  MATH  Google Scholar 

  13. Fong, T., Nourbakhsh, I.: Interaction challenges in human-robot space exploration. ACM Interact. 12(2), 42–45 (2005)

    Article  Google Scholar 

  14. Fong, T., et al.: Space telerobotics: unique challenges to human-robot collaboration in space. Rev. Hum. Factors Ergon. 9(1), 6–56 (2013)

    Google Scholar 

  15. Freedy, A., DeVisser, E., Weltman, G., Coeyman, N.: Measurement of trust in human-robot collaboration. In: International Symposium on Collaborative Technologies and Systems, 2007. CTS 2007, pp. 106–114. IEEE (2007)

    Google Scholar 

  16. Funk, H., Goldman, R., Miller, C., Meisner, J., Wu, P.: A playbook for real-time, closed-loop control. In: Proceedings of the 1st Annual Conference on Human-Robot Interaction (2005)

    Google Scholar 

  17. Funk, H., Goldman, R., Miller, C., Meisner, J., Wu, P.: A Playbook TM for Real-Time, Closed-Loop Control (2006)

    Google Scholar 

  18. Goodrich, M.A., Crandall, J.W., Stimpson, J.L.: Neglect tolerant teaming: issues and dilemmas. In: Proceedings of the 2003 AAAI Spring Symposium on Human Interaction with Autonomous Systems in Complex Environments, pp. 24–26 (2003)

    Google Scholar 

  19. Goodrich, M.A., Olsen, D.R.: Seven principles of efficient human robot interaction. In: IEEE International Conference on Systems, Man and Cybernetics, vol. 4, pp. 3942–3948. IEEE (2003)

    Google Scholar 

  20. Goodrich, M.A., Schultz, A.C.: Human-robot interaction: a survey. Found. Trends Hum.-Comput. Interact. 1(3), 203–275 (2007)

    Article  MATH  Google Scholar 

  21. Groom, V., Nass, C.: Can robots be teammates?: benchmarks in human-robot teams. Interact. Stud. 8(3), 483–500 (2007)

    Article  Google Scholar 

  22. Hooey, B., Kaber, D., Adams, J., Fong, T., Gore, B.: The underpinnings of workload in unmanned vehicle systems. IEEE Trans. Hum.-Mach. Syst. (2017) (in press)

    Google Scholar 

  23. Hoffman, G., Breazeal, C.: Collaboration in human-robot teams. In: Proceedings of the AIAA 1st Intelligent Systems Technical Conference, Chicago, IL, USA (2004)

    Google Scholar 

  24. Hollenbeck, J.R., DeRue, D.S., Guzzo, R.: Bridging the gap between I/O research and HR practice: improving team composition, team training, and team task design. Hum. Resource Manage. 43(4), 353–366 (2004)

    Article  Google Scholar 

  25. Johnson, M., Bradshaw, J.M., Feltovich, P.J., Van Riemsdijk, M.B., Jonker, C.M., Sierhuis, M.: Coactive design: designing support for interdependence in joint activity. J. Hum.-Robot Interact. 3(1), 2014 (2014)

    Article  Google Scholar 

  26. Kim, M., Oh, K., Choi, J., Jung, J., Kim, Y.: User-centered HRI: HRI research methodology for designers. In: Mixed Reality and Human-Robot Interaction, pp. 13–33. Springer Netherlands (2011)

    Google Scholar 

  27. Klien, 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(6), 91–95 (2004)

    Article  Google Scholar 

  28. Salas, E., Cooke, N.J., Rosen, M.A.: On teams, teamwork, and team performance: discoveries and developments. Human Factors 50(3), 540–547 (2008)

    Article  Google Scholar 

  29. Scholtz, J.: Evaluation methods for human-system performance of intelligent systems. In: Proceedings of the 2002 Performance Metrics for Intelligent Systems (PerMIS) Workshop, Gaithersburg, MD. National Institute of Standards and Technology (2002)

    Google Scholar 

  30. Scholtz, J.: Theory and evaluation of human robot interactions. In: Proceedings of the 36th Annual Hawaii International Conference on System Sciences. IEEE (2003)

    Google Scholar 

  31. Scholtz, J., Consolvo, S.: Toward a framework for evaluating ubiquitous computing applications. IEEE Pervasive Comput. 3(2), 82–88 (2004)

    Article  Google Scholar 

  32. Steinfeld, A., Fong, T., Kaber, D., Lewis, M., Scholtz, J., Schultz, A., Goodrich, M.: Common metrics for human-robot interaction. In: Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, pp. 33–40. ACM (2006)

    Google Scholar 

  33. Sycara, K., Sukthankar, G.: Literature review of teamwork models, p. 31. Carnegie Mellon University, Robotics Institute (2006)

    Google Scholar 

  34. Thrun, S.: Toward a framework for human-robot interaction. Hum.-Comput. Interact. 19(1–2), 9–24 (2004)

    Article  Google Scholar 

  35. Thomaz, A., Hoffman, G., Cakmak, M.: Computational human-robot interaction. Found. Trends Robot. 4(2–3), 105–223 (2016)

    Google Scholar 

  36. Tsui, K.M., Yanco, H.A.: Design challenges and guidelines for social interaction using mobile telepresence robots. Rev. Hum. Factors Ergon. 9(1), 227–301 (2013)

    Article  Google Scholar 

  37. Pedersen, L., Kortenkamp, D., Wettergreen, D., Nourbakhsh, I., Korsmeyer, D.: A survey of space robotics. In: Proceedings of the 7th International Symposium on Artificial Intelligence, Robotics and Automation in Space (2003)

    Google Scholar 

  38. Pritchett, A.R., Kim, S.Y., Feigh, K.M.: Measuring human-automation function allocation. J. Cogn. Eng. Dec. Making 8(1), 52–77 (2014)

    Article  Google Scholar 

  39. Yanco, H.A., Drury, J.L.: A taxonomy for human-robot interaction. In: Proceedings of the AAAI Fall Symposium on Human-Robot Interaction, pp. 111–119 (2002)

    Google Scholar 

  40. Yanco, H.A., Drury, J.: Classifying human-robot interaction: an updated taxonomy. In: 2004 IEEE International Conference on Systems, Man and Cybernetics, vol.3, pp. 2841–2846. IEEE (2004)

    Google Scholar 

  41. Yanco, H.A., Drury, J.L., Scholtz, J.: Beyond usability evaluation: analysis of human-robot interaction at a major robotics competition. Hum.-Comput. Interact. 19(1–2), 117–149 (2004)

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by a grant from the NASA Human Research Program #NNX17AB08G. Partial support was provided by a DARPA/NASA effort to model and predict workload in human-machine systems.

Author information

Authors and Affiliations

  1. Georgia Institute of Technology, North Ave NW, Atlanta, GA, 30332, USA

    Lanssie Mingyue Ma & Karen Feigh

  2. IRG NASA Ames, Moffett Blvd, Mountain View, CA, 94035, USA

    Terrence Fong, Mark J. Micire & Yun Kyung Kim

Authors
  1. Lanssie Mingyue Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Terrence Fong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mark J. Micire
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yun Kyung Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Karen Feigh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lanssie Mingyue Ma .

Editor information

Editors and Affiliations

  1. ETH Zurich, Zürich, Switzerland

    Marco Hutter

  2. ETH Zurich, Zürich, Switzerland

    Roland Siegwart

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mingyue Ma, L., Fong, T., Micire, M.J., Kim, Y.K., Feigh, K. (2018). Human-Robot Teaming: Concepts and Components for Design. In: Hutter, M., Siegwart, R. (eds) Field and Service Robotics. Springer Proceedings in Advanced Robotics, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-67361-5_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67361-5_42

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67360-8

  • Online ISBN: 978-3-319-67361-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation