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Effectiveness of Concurrent Performance of Military and Robotics Tasks and Effects of Cueing in a Simulated Multi-Tasking Environment

机译:在模拟多任务环境中同时执行军事和机器人任务的有效性以及提示的效果

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We simulated a military mounted crewstation environment and conducted two experiments to examine the workload and performance of the combined position of gunner and robotics operator. The robotics tasks involved managing a semi-autonomous ground robot or teleoperating a ground robot to conduct reconnaissance tasks. We also evaluated whether aided target recognition (AiTR) capabilities (delivered either through tactile or tactile + visual cueing) for the gunnery task might benefit the concurrent robotics and communication tasks. Results showed that participants' gunnery task performance degraded significantly when s/he had to concurrently monitor, manage, or teleoperate a robot compared to the gunnery-single task condition. When there was AiTR to assist them with their gunnery task, operators' concurrent performance of robotics and communication tasks improved significantly. However, there was a tendency for participants to over-rely on automation when taskload was heavy, and performance degradations were observed in instances where automation failed to be entirely reliable. Participants' spatial ability was found to be a reliable predictor of robotics task performance. Participants' perceived workload increased consistently as the concurrent task conditions became more challenging and when their gunnery task was unassisted.
机译:我们模拟了一个军用安装的乘员站环境,并进行了两次实验,以检查炮手和机器人操作员的联合位置的工作量和性能。机器人任务包括管理半自主地面机器人或遥控地面机器人执行侦察任务。我们还评估了针对炮手任务的辅助目标识别(AiTR)功能(通过触觉或触觉+视觉提示提供)是否可能使同时进行的机器人和通信任务受益。结果表明,与炮手单任务情况相比,当参与者必须同时监控,管理或遥控机器人时,参与者的炮手任务性能显着下降。当有AiTR协助他们完成炮击任务时,操作员同时执行的机器人和通讯任务的性能得到了显着改善。但是,当任务负载很重时,参与者有过分依赖自动化的趋势,并且在自动化不能完全可靠的情况下观察到性能下降。发现参与者的空间能力是机器人工作性能的可靠预测指标。随着并发任务的条件变得越来越具有挑战性,并且当他们的火炮任务没有得到协助时,参与者的感知工作量也不断增加。

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