Operator Choice Modeling for Collaborative UAV Visual Search Tasks
Unmanned aerial vehicles (UAVs) provide unprecedented access to imagery of possible ground targets of interest in real time. The availability of this imagery is expected to increase with envisaged future missions of one operator controlling multiple UAVs. This research investigates decision models t...
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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| Online Access: | http://hdl.handle.net/1721.1/81764 |
| _version_ | 1826209099225759744 |
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| author | Bertuccelli, Luca F. Cummings, M. L. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Bertuccelli, Luca F. Cummings, M. L. |
| author_sort | Bertuccelli, Luca F. |
| collection | MIT |
| description | Unmanned aerial vehicles (UAVs) provide unprecedented access to imagery of possible ground targets of interest in real time. The availability of this imagery is expected to increase with envisaged future missions of one operator controlling multiple UAVs. This research investigates decision models that can be used to develop assistive decision support for UAV operators involved in these complex search missions. Previous human-in-the-loop experiments have shown that operator detection probabilities may decay with increased search time. Providing the operators with the ability to requeue difficult images with the option of relooking at targets later was hypothesized to help operators improve their search accuracy. However, it was not well understood how mission performance could be impacted by operators performing requeues with multiple UAVs. This work extends a queuing model of the human operator by developing a retrial queue model (ReQM) that mathematically describes the use of relooks. We use ReQM to generate performance predictions through discrete event simulation. We validate these predictions through a human-in-the-loop experiment that evaluates the impact of requeuing on a simulated multiple-UAV mission. Our results suggest that, while requeuing can improve detection accuracy and decrease mean search times, operators may need additional decision support to use relooks effectively. |
| first_indexed | 2024-09-23T14:17:14Z |
| format | Article |
| id | mit-1721.1/81764 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:17:14Z |
| publishDate | 2013 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/817642022-09-28T19:46:30Z Operator Choice Modeling for Collaborative UAV Visual Search Tasks Bertuccelli, Luca F. Cummings, M. L. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Cummings, M. L. Bertuccelli, Luca F. Unmanned aerial vehicles (UAVs) provide unprecedented access to imagery of possible ground targets of interest in real time. The availability of this imagery is expected to increase with envisaged future missions of one operator controlling multiple UAVs. This research investigates decision models that can be used to develop assistive decision support for UAV operators involved in these complex search missions. Previous human-in-the-loop experiments have shown that operator detection probabilities may decay with increased search time. Providing the operators with the ability to requeue difficult images with the option of relooking at targets later was hypothesized to help operators improve their search accuracy. However, it was not well understood how mission performance could be impacted by operators performing requeues with multiple UAVs. This work extends a queuing model of the human operator by developing a retrial queue model (ReQM) that mathematically describes the use of relooks. We use ReQM to generate performance predictions through discrete event simulation. We validate these predictions through a human-in-the-loop experiment that evaluates the impact of requeuing on a simulated multiple-UAV mission. Our results suggest that, while requeuing can improve detection accuracy and decrease mean search times, operators may need additional decision support to use relooks effectively. Michigan/AFRL Collaborative Center in Control Science United States. Office of Naval Research (Grant N00014-07-1-0230) 2013-10-25T13:02:42Z 2013-10-25T13:02:42Z 2012-08 2011-12 Article http://purl.org/eprint/type/JournalArticle 1083-4427 1558-2426 http://hdl.handle.net/1721.1/81764 Bertuccelli, Luca F., and Mary L. Cummings. “Operator Choice Modeling for Collaborative UAV Visual Search Tasks.” IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 42, no. 5 (September 2012): 1088-1099. en_US http://dx.doi.org/10.1109/tsmca.2012.2189875 IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | Bertuccelli, Luca F. Cummings, M. L. Operator Choice Modeling for Collaborative UAV Visual Search Tasks |
| title | Operator Choice Modeling for Collaborative UAV Visual Search Tasks |
| title_full | Operator Choice Modeling for Collaborative UAV Visual Search Tasks |
| title_fullStr | Operator Choice Modeling for Collaborative UAV Visual Search Tasks |
| title_full_unstemmed | Operator Choice Modeling for Collaborative UAV Visual Search Tasks |
| title_short | Operator Choice Modeling for Collaborative UAV Visual Search Tasks |
| title_sort | operator choice modeling for collaborative uav visual search tasks |
| url | http://hdl.handle.net/1721.1/81764 |
| work_keys_str_mv | AT bertuccellilucaf operatorchoicemodelingforcollaborativeuavvisualsearchtasks AT cummingsml operatorchoicemodelingforcollaborativeuavvisualsearchtasks |