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首页> 外文会议>Human Factors and Ergonomics Society annual meeting;HFES 2002 >SUPERVISORY DECISION-MAKING:IN SEMI/AUTONOMOUS SYSTEMS
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SUPERVISORY DECISION-MAKING:IN SEMI/AUTONOMOUS SYSTEMS

机译：监督决策：在半/自治系统中

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摘要

Supervisory Decision-Making (SDM) refers to human supervision of several semi-autonomous (non-human) systems in a collaborative manner to accomplish a goal. This study defined SDM and distinguished it from traditional supervisory control and decision-making. An examination of diverse literature in organization design, biology, robotics, innovation diffusion, and trust in automation, yielded no directly applicable or comprehensive models. Field observations were made of large-scale war-games, where operators interacted with semi/autonomous sensors and defense-management systems. Four cognitive models were subsequently developed describing 1) adaptive partnering with automation, 2) technology adoption, 3) trust in automation, and 4) dealing with advice from decision aids. The latter quantitatively models individual, dynamic decisions to accept or reject recommendations made by automated battlespace advisors. The anticipated benefits of this work include more effective human-robot coordination, communication, the identification of experiments, and ultimately design guidelines for robotics, intelligent software agents, intelligent transportation systems, and space exploration.
机译：监督决策（SDM）是指以协作方式完成目标的几个半自治（非人）系统的人为监督。这项研究定义了SDM，并将其与传统的监督控制和决策区分开来。对组织设计，生物学，机器人技术，创新传播和对自动化的信任等方面的各种文献的研究，没有得出直接适用或综合的模型。现场观察是针对大型战争游戏，操作员在其中与半/自主传感器和防御管理系统进行交互。随后开发了四个认知模型，描述了1）与自动化的自适应合作，2）技术采用，3）对自动化的信任以及4）处理来自决策辅助的建议。后者定量地对各个动态决策进行建模，以接受或拒绝自动化战场顾问的建议。这项工作的预期收益包括更有效的人机协调，通信，实验识别以及最终的机器人技术，智能软件代理，智能运输系统和太空探索设计指南。

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