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原文传递 How training and experience affect the benefits of autonomy in a dirty-bomb experiment

题名：	How training and experience affect the benefits of autonomy in a dirty-bomb experiment
作者：	David I. Gertman;Curtis W. Nielsen;David J. Bruemmer;
关键词：	expert user; human-robot interaction; map-building; seamless autonomy99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ACCURACY; BOMBS; DETECTION; ENGINEERS; EXPLOSIVES; PERFORMANCE; PLUMES; ROBOTS; TARGETS; TRAINING; WEAPONS
摘要：	A dirty-bomb experiment conducted at the INL is used to evaluate the effectiveness and suitability of three different modes of robot control. The experiment uses three distinct user groups to understand how participants鈥?background and training affect the way in which they use and benefit from autonomy. The results show that the target mode, which involves automated mapping and plume tracing together with a point and click tasking tool, provides the best performance for each group. This is true for objective performance such as source detection and localization accuracy as well as subjective measures such as perceived workload, frustration and preference. The best overall performance is achieved by the Explosive Ordinance Disposal group which has experience in both robot teleoperation and dirty bomb response. The user group that benefits least from autonomy is the Nuclear Engineers that have no experience with either robot operation or dirty bomb response. The group that benefits most from autonomy is the Weapons of Mass Destruction Civil Response Team that has extensive experience related to the task, but no robot training.<
报告类型：	科技报告