,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control
For future systems that require one or a small team of operators to supervise a network of automated agents, automated planners are critical since they are faster than humans for path planning and resource allocation in multivariate, dynamic, time-pressured environments. However, such planners can...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | en_US |
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Proceedings of the IEEE
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/86950 |
| _version_ | 1811091849607118848 |
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| author | Cummings, M.L. How, J. Whitten, A. Toupet, O. |
| author_facet | Cummings, M.L. How, J. Whitten, A. Toupet, O. |
| author_sort | Cummings, M.L. |
| collection | MIT |
| description | For future systems that require one or a small team of operators to supervise a network of automated agents, automated planners are critical since they are faster than humans for path planning and resource allocation in multivariate, dynamic, time-pressured environments. However, such planners
can be brittle and unable to respond to emergent events. Human operators can aid such systems by bringing their knowledge-based reasoning and experience to bear. Given a decentralized task planner and a goal-based operator interface for a network of unmanned vehicles in a search, track, and
neutralize mission, we demonstrate with a human-on-the-loop experiment that humans guiding these decentralized planners improved system performance by up to 50%. However, those tasks that required precise and rapid calculations were not significantly improved with human aid. Thus, there is a shared space in such complex missions for human–automation
collaboration. |
| first_indexed | 2024-09-23T15:09:01Z |
| format | Article |
| id | mit-1721.1/86950 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:09:01Z |
| publishDate | 2014 |
| publisher | Proceedings of the IEEE |
| record_format | dspace |
| spelling | mit-1721.1/869502019-04-11T12:27:33Z ,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control Cummings, M.L. How, J. Whitten, A. Toupet, O. Command and control decentralized task planning decision support systems human–automation interaction human supervisory control unmanned vehicles For future systems that require one or a small team of operators to supervise a network of automated agents, automated planners are critical since they are faster than humans for path planning and resource allocation in multivariate, dynamic, time-pressured environments. However, such planners can be brittle and unable to respond to emergent events. Human operators can aid such systems by bringing their knowledge-based reasoning and experience to bear. Given a decentralized task planner and a goal-based operator interface for a network of unmanned vehicles in a search, track, and neutralize mission, we demonstrate with a human-on-the-loop experiment that humans guiding these decentralized planners improved system performance by up to 50%. However, those tasks that required precise and rapid calculations were not significantly improved with human aid. Thus, there is a shared space in such complex missions for human–automation collaboration. 2014-05-14T19:00:11Z 2014-05-14T19:00:11Z 2012 Article http://hdl.handle.net/1721.1/86950 Cummings, M.L., How, J., Whitten, A., and Toupet ,O.,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control, Proceedings of the IEEE, Vol. 100, No.3 pp. 660-671, 2012. en_US application/pdf Proceedings of the IEEE |
| spellingShingle | Command and control decentralized task planning decision support systems human–automation interaction human supervisory control unmanned vehicles Cummings, M.L. How, J. Whitten, A. Toupet, O. ,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control |
| title | ,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control |
| title_full | ,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control |
| title_fullStr | ,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control |
| title_full_unstemmed | ,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control |
| title_short | ,The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control |
| title_sort | the impact of human automation collaboration in decentralized multiple unmanned vehicle control |
| topic | Command and control decentralized task planning decision support systems human–automation interaction human supervisory control unmanned vehicles |
| url | http://hdl.handle.net/1721.1/86950 |
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