The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems
Recent studies have shown that with appropriate operator decision support and with sufficient automation, inverting the multiple operators to single-unmanned vehicle control paradigm is possible. These studies, however, have generally focused on homogeneous teams of vehicles, and have not comple...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/90279 |
| _version_ | 1826214337777238016 |
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| author | Nehme, C. E. Meckeci, B. Crandall, J. W. Cummings, M.L. |
| author_facet | Nehme, C. E. Meckeci, B. Crandall, J. W. Cummings, M.L. |
| author_sort | Nehme, C. E. |
| collection | MIT |
| description | Recent studies have shown that with appropriate operator decision support
and with sufficient automation, inverting the multiple operators to
single-unmanned 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 discrete event simulation (DES) model as a means to
model a single operator supervising multiple heterogeneous unmanned
vehicles. The DES model can be used to understand the impact of varying
both vehicle team design variables (such as team composition) and
operator design variables (including attention allocation strategies). The
model also highlights the sub-components of operator attention allocation
schemes that can impact overall performance when supervising heterogeneous unmanned vehicle teams. Results from an experimental case study are then used to validate the model, and make predictions about operator performance for various heterogeneous team configurations. |
| first_indexed | 2024-09-23T16:03:47Z |
| format | Article |
| id | mit-1721.1/90279 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:03:47Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | mit-1721.1/902792019-04-12T21:49:05Z The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems Nehme, C. E. Meckeci, B. Crandall, J. W. Cummings, M.L. heterogeneity unmanned vehicle operator capacity discrete event simulation Recent studies have shown that with appropriate operator decision support and with sufficient automation, inverting the multiple operators to single-unmanned 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 discrete event simulation (DES) model as a means to model a single operator supervising multiple heterogeneous unmanned vehicles. The DES model can be used to understand the impact of varying both vehicle team design variables (such as team composition) and operator design variables (including attention allocation strategies). The model also highlights the sub-components of operator attention allocation schemes that can impact overall performance when supervising heterogeneous unmanned vehicle teams. Results from an experimental case study are then used to validate the model, and make predictions about operator performance for various heterogeneous team configurations. The research was supported by Charles River Analytics, the Office of Naval Research (ONR), and MIT Lincoln Laboratory. 2014-09-23T18:06:22Z 2014-09-23T18:06:22Z 2008 Article http://hdl.handle.net/1721.1/90279 Nehme, C. E., Mekdeci, B., Crandall, J. W., Cummings, M. L. The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems, The International Command and Control Journal, Vol. 2(2), 2008. application/pdf |
| spellingShingle | heterogeneity unmanned vehicle operator capacity discrete event simulation Nehme, C. E. Meckeci, B. Crandall, J. W. Cummings, M.L. The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems |
| title | The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems |
| title_full | The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems |
| title_fullStr | The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems |
| title_full_unstemmed | The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems |
| title_short | The Impact of Heterogeneity on Operator Performance in Future Unmanned Vehicle Systems |
| title_sort | impact of heterogeneity on operator performance in future unmanned vehicle systems |
| topic | heterogeneity unmanned vehicle operator capacity discrete event simulation |
| url | http://hdl.handle.net/1721.1/90279 |
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