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Task Switching and Single vs. Multiple Alarms for Supervisory Control of Multiple Robots

机译:任务切换和单个与多个机器人监控控制的多个报警

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Foraging tasks, such as search and rescue or reconnaissance, in which UVs are either relatively sparse and unlikely to interfere with one another or employ automated path planning, form a broad class of applications in which multiple robots can be controlled sequentially in a round-robin fashion. Such human-robot systems can be described as a queuing system in which the human acts as a server while robots presenting requests for service are the jobs. The possibility of improving system performance through well-known scheduling techniques is an immediate consequence. Unfortunately, real human-multirobot systems are more complex often requiring operator monitoring and other ancillary tasks. Improving performance through scheduling (jobs) under these conditions requires minimizing the effort expended monitoring and directing the operator's attention to the robot offering the most gain. Two experiments investigating scheduling interventions are described. The first compared a system in which all anomalous robots were alarmed (Open-queue), one in which alarms were presented singly in the order in which they arrived (FIFO) and a Control condition without alarms. The second experiment employed failures of varying difficulty supporting an optimal shortest job first (SJF) policy. SJF, FIFO, and Open-queue conditions were compared. In both experiments performance in directed attention conditions was poorer than predicted. A possible explanation based on effects of volition in task switching is proposed.
机译:觅食任务,例如搜索和救援或侦察,其中UVS相对稀少,不太可能彼此间隔或采用自动路径规划,形成广泛的应用程序,其中可以在循环中顺序地控制多种机器人时尚。这种人机系统可以被描述为排队系统,其中人类作为服务器作为服务器,而呈现服务请求是作业。通过众所周知的调度技术提高系统性能的可能性是即时后果。不幸的是,真正的人类多罗频系统更复杂,通常需要操作员监控和其他辅助任务。根据这些条件下的调度(职位)提高性能要求最大限度地减少努力消费监测,并将操作员注意提供最大收益的机器人。描述了调查调度干预的两个实验。首先比较了一个系统的系统,其中所有异常机器人(开放式队列),其中一个警报单独呈现警报(FIFO)和无警报的控制条件。第二个实验就业失败,不断变化难以支持最佳的最短工作(SJF)政策。比较SJF,FIFO和开放式队列条件。在两种实验中,指向注意力条件的性能比预测差。提出了基于任务切换中的效果的可能解释。

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