An Analysis of Heterogeneity in Futuristic Unmanned Vehicle Systems
Recent studies have shown that with appropriate operator decision support and with enough automation aboard unmanned vehicles, inverting the multiple operators to single-vehicle control paradigm is possible. These studies, however, have generally focused on homogeneous teams of vehicles, and hav...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Technical Report |
| Language: | en_US |
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MIT Humans and Automation Laboratory
2009
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| Online Access: | http://hdl.handle.net/1721.1/46733 |
| _version_ | 1826197269535260672 |
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| author | Nehme, C. E. Cummings, M. L. |
| author2 | Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Humans and Automation Laboratory |
| author_facet | Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Humans and Automation Laboratory Nehme, C. E. Cummings, M. L. |
| author_sort | Nehme, C. E. |
| collection | MIT |
| description | Recent studies have shown that with appropriate operator decision support and with enough automation aboard
unmanned vehicles, inverting the multiple operators to single-vehicle control paradigm is possible. These studies,
however, have generally focused on homogeneous teams of vehicles, and have not completely addressed either the
manifestation of heterogeneity in vehicle teams, or the effects of heterogeneity on operator capacity. An important
implication of heterogeneity in unmanned vehicle teams is an increase in the diversity of possible team
configurations available for each operator, as well as an increase in the diversity of possible attention allocation
schemes that can be utilized by operators. To this end, this paper introduces a resource allocation framework that
defines the strategies and processes that lead to alternate team configurations. The framework also highlights the
sub-components of operator attention allocation schemes that can impact overall performance when supervising
heterogeneous unmanned vehicle teams. A subsequent discrete event simulation model of a single operator
supervising multiple heterogeneous vehicles and tasks explores operator performance under different heterogeneous
team compositions and varying attention allocation strategies. Results from the discrete event simulation model
show that the change in performance when switching from a homogeneous team to a heterogeneous one is highly
dependent on the change in operator utilization. Heterogeneous teams that result in lower operator utilization can
lead to improved performance under certain operator strategies. |
| first_indexed | 2024-09-23T10:45:06Z |
| format | Technical Report |
| id | mit-1721.1/46733 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:45:06Z |
| publishDate | 2009 |
| publisher | MIT Humans and Automation Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/467332019-04-12T10:03:54Z An Analysis of Heterogeneity in Futuristic Unmanned Vehicle Systems Nehme, C. E. Cummings, M. L. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Humans and Automation Laboratory Recent studies have shown that with appropriate operator decision support and with enough automation aboard unmanned vehicles, inverting the multiple operators to single-vehicle control paradigm is possible. These studies, however, have generally focused on homogeneous teams of vehicles, and have not completely addressed either the manifestation of heterogeneity in vehicle teams, or the effects of heterogeneity on operator capacity. An important implication of heterogeneity in unmanned vehicle teams is an increase in the diversity of possible team configurations available for each operator, as well as an increase in the diversity of possible attention allocation schemes that can be utilized by operators. To this end, this paper introduces a resource allocation framework that defines the strategies and processes that lead to alternate team configurations. The framework also highlights the sub-components of operator attention allocation schemes that can impact overall performance when supervising heterogeneous unmanned vehicle teams. A subsequent discrete event simulation model of a single operator supervising multiple heterogeneous vehicles and tasks explores operator performance under different heterogeneous team compositions and varying attention allocation strategies. Results from the discrete event simulation model show that the change in performance when switching from a homogeneous team to a heterogeneous one is highly dependent on the change in operator utilization. Heterogeneous teams that result in lower operator utilization can lead to improved performance under certain operator strategies. Prepared for Charles River Analytics 2009-09-18T04:11:48Z 2009-09-18T04:11:48Z 2007 Technical Report http://hdl.handle.net/1721.1/46733 en_US HAL Reports;HAL2007-07 application/pdf MIT Humans and Automation Laboratory |
| spellingShingle | Nehme, C. E. Cummings, M. L. An Analysis of Heterogeneity in Futuristic Unmanned Vehicle Systems |
| title | An Analysis of Heterogeneity in Futuristic Unmanned Vehicle Systems |
| title_full | An Analysis of Heterogeneity in Futuristic Unmanned Vehicle Systems |
| title_fullStr | An Analysis of Heterogeneity in Futuristic Unmanned Vehicle Systems |
| title_full_unstemmed | An Analysis of Heterogeneity in Futuristic Unmanned Vehicle Systems |
| title_short | An Analysis of Heterogeneity in Futuristic Unmanned Vehicle Systems |
| title_sort | analysis of heterogeneity in futuristic unmanned vehicle systems |
| url | http://hdl.handle.net/1721.1/46733 |
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