Human control of multiple robots in the RoboFlag simulation environment
Human control of multiple robots in the RoboFlag simulation environment
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RoboFlag 仿真环境中多个机器人的人工控制
DOI：
10.1109/icsmc.2003.1244388
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
C. Miller
中科院分区：
文献类型：
--
作者：
R. Parasuraman;S. Galster;C. Miller
使用 RoboFlag 模拟环境检查人类表现和监督控制策略。在对多个无人驾驶车辆任务的模拟中，一名操作员使用自动模式或“游戏”以及手动控制来监督由六个机器人组成的团队。使用了委托类型接口的简化形式 Playbook。对手“姿势”（进攻、防守或混合）和环境不确定性（机器人的视觉范围：低、中或高）这两个因素对用户表现的影响，在 18 名参与者中进行了研究，这些参与者在这些因素的九种组合中的每一种中完成了五次任务试验。从每个参与者处获得了客观表现测量以及心理负荷和情境意识的主观评估。对手的姿势对成功完成任务的百分比和比赛的持续时间有显着影响。对手的姿势和视觉范围也显着影响手动和自动控制策略的使用。讨论了操作员策略的选择和实施，涉及性能数据和支持灵活任务委派的监控接口的设计。
Human performance and supervisory control strategies were examined using the RoboFlag simulation environment. In an emulation of a multiple unmanned vehicle mission, a single operator supervised a team of six robots using automated modes or "plays" as well as manual control. Simplified form of a delegation type interface, Playbook, was used. Effects on user performance of two factors, opponent "posture" (offensive, defensive, or mixed) and environmental uncertainty (visual range of the robots: low, medium, or high), were examined in 18 participants who completed five mission trials in each of the nine combinations of these factors. Objective performance measures and subjective assessments of mental workload and situation awareness were obtained from each participant. Opponent posture had a significant effect on the percent of missions successfully completed and the duration of the games. Both opponent posture and visual range also significantly affected the use of manual and automated control strategies. Operator strategy selection and implementation are discussed with regard to performance data and the design of supervisory control interfaces that support flexible task delegation.