Vogl Jonathan, McCurry Charles D, Bommer Sharon, Atchley J Andrew
United States Army Aeromedical Research Laboratory, Warfighter Performance Group, Fort Novosel, AL, United States.
Department of Energy, Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States.
Front Neuroergon. 2024 Dec 18;5:1435588. doi: 10.3389/fnrgo.2024.1435588. eCollection 2024.
The U.S. Army Aeromedical Research Laboratory (USAARL) Multi-Attribute Task Battery (MATB) represents a significant advancement in research platforms for human performance assessment and automation studies. The USAARL MATB builds upon the legacy of the traditional MATB, which has been refined over 30 years of use to include four primary aviation-like tasks. However, the USAARL MATB takes this foundation and enhances it to meet the demands of contemporary research, particularly in the areas of performance modeling, cognitive workload assessment, adaptive automation, and trust in automation. The USAARL MATB retains the four classic subtask types from its predecessors while introducing innovations such as subtask variations, dynamic demand transitions, and performance-driven adaptive automation handoffs. This paper introduces the USAARL MATB to the research community, highlighting its development history, key features, and potential applications.
美国陆军航空医学研究实验室(USAARL)多属性任务组(MATB)代表了人类绩效评估和自动化研究平台的重大进步。USAARL MATB建立在传统MATB的基础之上,传统MATB经过30多年的使用已得到完善,包含四项主要的类似航空的任务。然而,USAARL MATB以此为基础并对其进行改进,以满足当代研究的需求,特别是在绩效建模、认知工作量评估、自适应自动化以及对自动化的信任等领域。USAARL MATB保留了其前身的四种经典子任务类型,同时引入了诸如子任务变化、动态需求转换和绩效驱动的自适应自动化切换等创新。本文向研究界介绍USAARL MATB,重点介绍其发展历史、关键特性和潜在应用。