Function Allocation Considerations in the Era of Human Autonomy Teaming

IF 2.2 Q3 ENGINEERING, INDUSTRIAL Journal of Cognitive Engineering and Decision Making Pub Date : 2019-11-04 DOI:10.1177/1555343419878038
E. Roth, Christen E. Sushereba, L. Militello, Julie Diiulio, Katie Ernst
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引用次数: 39

Abstract

Function allocation refers to strategies for distributing system functions and tasks across people and technology. We review approaches to function allocation in the context of human machine teaming with technology that exhibits high levels of autonomy (e.g., unmanned aerial systems). Although most function allocation projects documented in the literature have employed a single method, we advocate for an integrated approach that leverages four key activities: (1) analyzing operational demands and work requirements; (2) exploring alternative distribution of work across person and machine agents that make up a human machine team (HMT); (3) examining interdependencies between human and autonomous technologies required for effective HMT performance under routine and off-nominal (unexpected) conditions; and (4) exploring the trade-space of alternative HMT options. Our literature review identified methods to support each of these activities. In combination, they enable system designers to uncover, explore, and weigh a range of critical design considerations beyond those emphasized by the MABA–MABA (“Men are better at, Machines are better at”) and Levels of Automation function allocation traditions. Example applications are used to illustrate the value of these methods to design of HMT that includes autonomous machine agents.
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人类自主团队时代的职能配置思考
功能分配是指在人员和技术之间分配系统功能和任务的策略。我们回顾了在人机合作的背景下功能分配的方法,这些技术表现出高度的自主性(例如,无人驾驶飞机系统)。虽然文献中记录的大多数功能分配项目都采用了单一方法,但我们提倡采用一种综合方法,利用四个关键活动:(1)分析操作需求和工作需求;(2)探索组成人机团队(HMT)的人和机器代理之间工作的替代分配;(3)检查在常规和非标称(意外)条件下有效HMT性能所需的人力和自主技术之间的相互依赖性;(4)探索替代HMT选项的交易空间。我们的文献综述确定了支持这些活动的方法。结合起来,它们使系统设计师能够发现、探索和权衡一系列重要的设计考虑,而不仅仅是MABA-MABA(“人更擅长,机器更擅长”)和自动化功能分配传统的层次所强调的。示例应用程序说明了这些方法在设计包含自主机器代理的HMT中的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.60
自引率
10.00%
发文量
21
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