Human-agent teaming for robot management in multitasking environments
Authors: 
Jessie Y.C. Chen, Stephanie Quinn, Julia Wright, Daniel Barber, David Adams, Michael BarnesAuthors Info & Claims
Pages 103 - 104
Abstract
In the current experiment, we simulated a multitasking environment and evaluated the effects of an intelligent agent, RoboLeader, on the performance of human operators who had the responsibility of managing the plans/routes for three vehicles (their own manned ground vehicle, an aerial robotic vehicle, and a ground robotic vehicle) while maintaining proper awareness of their immediate environment (i.e., threat detection). Results showed that RoboLeader's level of autonomy had a significant impact on participants' concurrent target detection task. Participants detected more targets in the Semi-Auto and Full-Auto conditions than in the Manual condition. Participants reported significantly higher workload in the Manual condition than in the two RoboLeader conditions (Semi-Auto and Full-Auto). Operator spatial ability also had a significant impact on target detection and situation awareness performance measures.
References
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Cummings, M. L., Bruni, S., and Mitchell, P. 2010. Human supervisory control challenges in network-centric operations. Rev. Human Factors & Ergon., 6, 1 (May 2010), 34--78.
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Chen, J.Y.C. and Barnes, M.J. 2012. Supervisory control of multiple robots in dynamic tasking environments. Ergonomics, 55, 9 (Sept. 2012), 1043--1058.
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Snyder, M., Qu, Z., Chen, J., and Barnes, M. 2010. RoboLeader for reconnaissance by a team of robotic vehicles. Proc. Int. Symp. Collab. Tech. & Sys. (Chicago, May 17--21, 2010). IEEE, New York, 522--530.
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Index Terms
- Human-agent teaming for robot management in multitasking environments
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Information
Published In
March 2013
452 pages
ISBN:9781467330558
- General Chairs:
- Hideaki Kuzuoka,
- Vanessa Evers,
- Program Chairs:
- Michita Imai,
- Jodi Forlizzi
Sponsors
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- RA: IEEE Robotics and Automation Society
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
In-Cooperation
- AAAI: American Association for Artificial Intelligence
- Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc
Publisher
IEEE Press
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Published: 03 March 2013
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