AI Article Synopsis
- A study simulated a military reconnaissance scenario to assess how effectively ground robotics operators navigated their robots using streaming video from unmanned aerial vehicles (UAVs) for target identification.
- The results indicated that operators performed better in terms of speed and accuracy when using larger, fixed-orientation UAV images compared to other types of UAV setups, with the highest workload experienced during orbiting views.
- Participants with higher spatial abilities showed improved performance and reported lower workload levels, providing insights for the design and training of future military ground/air robotic systems.
Article Abstract
A military reconnaissance environment was simulated to examine the performance of ground robotics operators who were instructed to utilise streaming video from an unmanned aerial vehicle (UAV) to navigate his/her ground robot to the locations of the targets. The effects of participants' spatial ability on their performance and workload were also investigated. Results showed that participants' overall performance (speed and accuracy) was better when she/he had access to images from larger UAVs with fixed orientations, compared with other UAV conditions (baseline- no UAV, micro air vehicle and UAV with orbiting views). Participants experienced the highest workload when the UAV was orbiting. Those individuals with higher spatial ability performed significantly better and reported less workload than those with lower spatial ability. The results of the current study will further understanding of ground robot operators' target search performance based on streaming video from UAVs. The results will also facilitate the implementation of ground/air robots in military environments and will be useful to the future military system design and training community.
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| http://dx.doi.org/10.1080/00140139.2010.500404 | DOI Listing |
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