Predictive Model for Human-Unmanned Vehicle Systems
Advances in automation are making it possible for a single operator to control multiple unmanned vehicles. However, the complex nature of these teams presents a difficult and exciting challenge for designers of human–unmanned vehicle systems. To build such systems effectively, models must be develop...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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American Institute of Aeronautics and Astronautics
2013
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| Online Access: | http://hdl.handle.net/1721.1/81769 |
| _version_ | 1811084571248164864 |
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| author | Crandall, Jacob W. Cummings, M. L. Nehme, Carl E. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Crandall, Jacob W. Cummings, M. L. Nehme, Carl E. |
| author_sort | Crandall, Jacob W. |
| collection | MIT |
| description | Advances in automation are making it possible for a single operator to control multiple unmanned vehicles. However, the complex nature of these teams presents a difficult and exciting challenge for designers of human–unmanned vehicle systems. To build such systems effectively, models must be developed that describe the behavior of the human–unmanned vehicle team and that predict how alterations in team composition and system design will affect the system’s overall performance. In this paper, we present a method for modeling human–unmanned vehicle systems consisting of a single operator and multiple independent unmanned vehicles. Via a case study, we demonstrate that the resulting models provide an accurate description of observed human-unmanned vehicle systems. Additionally, we demonstrate that the models can be used to predict how changes in the human-unmanned vehicle interface and the unmanned vehicles’ autonomy alter the system’s performance. |
| first_indexed | 2024-09-23T12:53:17Z |
| format | Article |
| id | mit-1721.1/81769 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:53:17Z |
| publishDate | 2013 |
| publisher | American Institute of Aeronautics and Astronautics |
| record_format | dspace |
| spelling | mit-1721.1/817692022-10-01T11:41:04Z Predictive Model for Human-Unmanned Vehicle Systems Crandall, Jacob W. Cummings, M. L. Nehme, Carl E. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Cummings, M. L. Advances in automation are making it possible for a single operator to control multiple unmanned vehicles. However, the complex nature of these teams presents a difficult and exciting challenge for designers of human–unmanned vehicle systems. To build such systems effectively, models must be developed that describe the behavior of the human–unmanned vehicle team and that predict how alterations in team composition and system design will affect the system’s overall performance. In this paper, we present a method for modeling human–unmanned vehicle systems consisting of a single operator and multiple independent unmanned vehicles. Via a case study, we demonstrate that the resulting models provide an accurate description of observed human-unmanned vehicle systems. Additionally, we demonstrate that the models can be used to predict how changes in the human-unmanned vehicle interface and the unmanned vehicles’ autonomy alter the system’s performance. Lincoln Laboratory 2013-10-25T13:34:21Z 2013-10-25T13:34:21Z 2009-11 2008-06 Article http://purl.org/eprint/type/JournalArticle 1542-9423 http://hdl.handle.net/1721.1/81769 Crandall, Jacob W., M. L. Cummings, and Carl E. Nehme. “Predictive Model for Human-Unmanned Vehicle Systems.” Journal of Aerospace Computing, Information, and Communication 6, no. 11 (November 2009): 585-603. en_US http://dx.doi.org/10.2514/1.39191 Journal of Aerospace Computing, Information, and Communication Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf American Institute of Aeronautics and Astronautics MIT web domain |
| spellingShingle | Crandall, Jacob W. Cummings, M. L. Nehme, Carl E. Predictive Model for Human-Unmanned Vehicle Systems |
| title | Predictive Model for Human-Unmanned Vehicle Systems |
| title_full | Predictive Model for Human-Unmanned Vehicle Systems |
| title_fullStr | Predictive Model for Human-Unmanned Vehicle Systems |
| title_full_unstemmed | Predictive Model for Human-Unmanned Vehicle Systems |
| title_short | Predictive Model for Human-Unmanned Vehicle Systems |
| title_sort | predictive model for human unmanned vehicle systems |
| url | http://hdl.handle.net/1721.1/81769 |
| work_keys_str_mv | AT crandalljacobw predictivemodelforhumanunmannedvehiclesystems AT cummingsml predictivemodelforhumanunmannedvehiclesystems AT nehmecarle predictivemodelforhumanunmannedvehiclesystems |