首页> 外文会议>International conference on human-computer interaction;International conference on augmented cognition >A Quantitative Methodology for Identifying Attributes Which Contribute to Performance for Officers at the Transportation Security Administration
【24h】

A Quantitative Methodology for Identifying Attributes Which Contribute to Performance for Officers at the Transportation Security Administration

机译:识别有助于运输安全管理人员绩效的属性的定量方法

获取原文

摘要

Performance at Transportation Security Administration (TSA) airport checkpoints must be consistently high to skillfully mitigate national security threats and incidents. To accomplish this, Transportation Security Officers (TSOs) must exceptionally perform in threat detection, interaction with passengers, and efficiency. It is difficult to measure the human attributes that contribute to high performing TSOs because cognitive ability such as memory, personality, and competence are inherently latent variables. Cognitive scientists at Sandia National Laboratories have developed a methodology that links TSOs' cognitive ability to their performance. This paper discusses how the methodology was developed using a strict quantitative process, the strengths and weaknesses, as well as how this could be generalized to other non-TSA contexts. The scope of this project is to identify attributes that distinguished high and low TSO performance for the duties at the checkpoint that involved direct interaction with people going through the checkpoint.
机译:运输安全管理局(TSA)机场检查站的性能必须始终保持较高水平,以熟练缓解国家安全威胁和事件。为此,运输安全官(TSO)必须出色地执行威胁检测,与旅客互动以及提高效率。由于诸如记忆力,人格和能力等认知能力是天生的潜在变量,因此很难衡量有助于获得高性能TSO的人的属性。桑迪亚国家实验室的认知科学家已经开发出一种将TSO的认知能力与其表现联系起来的方法。本文讨论了如何使用严格的定量过程开发方法,优缺点,以及如何将其推广到其他非TSA情况。该项目的范围是确定属性,以区分在检查点执行与通过检查点的人员直接交互的职责的高和低TSO性能。

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