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Dynamic leadership for human-robot teams

Published: 02 March 2006 Publication History

Abstract

This paper evaluates collaborative tasking tools that facilitate dynamic sharing of responsibilities between robot and operator throughout a search and detection task Participants who utilize Collaborative Tasking Mode (CTM) do not experience a significant performance penalty, yet benefit from reduced workload and fewer instances of confusion. In addition, CTM participants report a higher overall feeling of control as compared to those using Standard Shared Mode.

References

[1]
J. L. Marble, D. J. Bruemmer, and D. A. Few, "Lessons learned from usability tests with a collaborative cognitive workspace for human-robot teams," In Proceedings of the IEEE Conf. on Systems, Man, and Cybernetics, Washington, DC, October, 2003.
[2]
J. L. Marble, D. J. Bruemmer, D. A. Few, and D. D. Dudenhoeffer, "Evaluation of supervisory vs. peer-peer interaction for human-robot teams," In Proceedings of the 37th Annual Hawaii International Conference on Systems Sciences, Big island, Hawaii, January 4-8, 2004.
[3]
Conley, David T., and Paul Goldman. Facilitative Leadership: How Principals Lead Without Dominating. Eugene, Oregon: Oregon School Study Council, August 1994.

Cited By

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  • (2018)Automated Leadership: Influence from Embodied AgentsHCI in Business, Government, and Organizations10.1007/978-3-319-91716-0_5(51-66)Online publication date: 5-Jun-2018
  • (2010)Human-robot interaction and future industrial robotics applications2010 IEEE/RSJ International Conference on Intelligent Robots and Systems10.1109/IROS.2010.5651294(4749-4754)Online publication date: Oct-2010
  • (2008)“Seamless Autonomy”: Removing autonomy level stratifications2008 Conference on Human System Interactions10.1109/HSI.2008.4581480(446-451)Online publication date: May-2008

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Published In

cover image ACM Conferences
HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
March 2006
376 pages
ISBN:1595932941
DOI:10.1145/1121241
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 March 2006

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HRI06
HRI06: International Conference on Human Robot Interaction
March 2 - 3, 2006
Utah, Salt Lake City, USA

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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HRI '25
ACM/IEEE International Conference on Human-Robot Interaction
March 4 - 6, 2025
Melbourne , VIC , Australia

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Cited By

View all
  • (2018)Automated Leadership: Influence from Embodied AgentsHCI in Business, Government, and Organizations10.1007/978-3-319-91716-0_5(51-66)Online publication date: 5-Jun-2018
  • (2010)Human-robot interaction and future industrial robotics applications2010 IEEE/RSJ International Conference on Intelligent Robots and Systems10.1109/IROS.2010.5651294(4749-4754)Online publication date: Oct-2010
  • (2008)“Seamless Autonomy”: Removing autonomy level stratifications2008 Conference on Human System Interactions10.1109/HSI.2008.4581480(446-451)Online publication date: May-2008

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