首页> 外文会议>Human Factors and Ergonomics Society;Human Factors and Ergonomics Society annual meeting >USING EMPIRICAL RESEARCH AND HUMAN PERFORMANCE MODELING TO PREDICT ASTRONAUT PERFORMANCE IN LONG-DURATION SPACE MISSIONS
【24h】

USING EMPIRICAL RESEARCH AND HUMAN PERFORMANCE MODELING TO PREDICT ASTRONAUT PERFORMANCE IN LONG-DURATION SPACE MISSIONS

机译:利用实证研究和人类绩效模型预测长时空任务中的星际表演

获取原文

摘要

The invited symposium session consists of four papers describing the S-PRINT project, sponsored by NASA’sHuman Research Program (HRP). The efforts undertaken as part of this project were to develop tools andempirically-based guidelines that support human performance researchers, mission planners, automationdesigners, and astronauts in long-duration missions. The Space Performance Research Integration Tool (SPRINT)project addresses aspects of the work environment that are characterized by workload transitions thatmight occur during long-duration missions. Workload transitions are a potential worst-case scenario, in whichunder-loaded astronauts experience automation failures that require immediate diagnosis and intervention. Theresearch has focused on the underload situation and on the effects that fatigue has on performance, humanperformance during overload / multitasking situations, and on automation design factors that affect operatorperformance. In this symposium, the investigators will present four papers (identified below) that describedifferent aspects of the research completed to develop the S-PRINT model. The session will show an integratedapproach of using empirical research and human performance modeling to predict operator performance inoperations that are in the design phase. In part, this symposium will highlight the way that the products fromthis research can be used to help the above-listed users (a) anticipate and avoid potential problems related tounexpected workload transitions by identifying the expected effects of operator fatigue, automation systemdesign, and task factors on overload performance, and to (b) assure systems can be designed in such a way as tooptimize performance in space exploration missions, particularly those that are experienced during longer termmissions (6+ months).
机译:受邀的专题讨论会由四篇描述S-PRINT项目的论文组成,这些论文由NASA的赞助 人类研究计划(HRP)。作为该项目一部分的工作是开发工具和 基于经验的准则,可为人类绩效研究人员,任务计划人员和自动化提供支持 设计师和执行长期任务的宇航员。太空性能研究集成工具(SPRINT) 该项目解决了工作环境中以工作负载转变为特征的方面, 可能会发生在长时间的任务中。工作负载过渡是一种潜在的最坏情况,在这种情况下, 负载不足的宇航员会遇到自动化故障,需要立即进行诊断和干预。这 研究集中在欠载情况以及疲劳对性能的影响上,人类 过载/多任务情况下的性能以及影响操作员的自动化设计因素 表现。在本次研讨会上,研究人员将发表四篇论文(如下所示),这些论文描述了 研究的不同方面已完成,以开发S-PRINT模型。本届会议将展示一个综合 实证研究和人员绩效模型预测运营商绩效的方法 设计阶段的操作。本次研讨会将在某种程度上强调产品的生产方式。 这项研究可用于帮助上述用户(a)预测并避免与 通过确定操作员疲劳,自动化系统的预期影响,进行意外的工作负载转换 设计,以及有关过载性能的任务因素,以及(b)确保可以采用以下方式设计系统: 优化太空探索任务的性能,尤其是长期任务 任务(超过6个月)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号