首页> 外文期刊>Human Factors >Attentional Models of Multitask Pilot Performance Using Advanced Display Technology
【24h】

Attentional Models of Multitask Pilot Performance Using Advanced Display Technology

机译:使用高级显示技术的多任务飞行员性能注意模型

获取原文
获取原文并翻译 | 示例
       

摘要

In the first part of the reported research, 12 instrument-rated pilots flew a high-fidelity simulation, in which air traffic control presentation of auditory (voice) information regarding traffic and flight parameters was compared with advanced display technology presentation of equivalent information regarding traffic (cockpit display qf traffic information) and flight parameters (data link display). Redundant combinations were also examined while pilots flew the aircraft simulation, monitored for outside traffic, and read back communications messages. The data suggested a modest cost for visual presentation over auditory presentation, a cost mediated by head-down visual scanning, and no benefit for redundant presentation. The effects in Part 1 were modeled by multiple-resource and preemption models of divided attention. In the second part of the research, visual scanning in all conditions was fit by an expected value model of selective attention derived from a previous experiment. This model accounted for 94% of the variance in the scanning data and 90% of the variance in a second validation experiment. Actual or potential applications of this research include guidance on choosing the appropriate modality for presenting in-cockpit information and understanding task strategies induced by introducing new aviation technology.
机译:在报告的研究的第一部分中,有12名仪表级飞行员进行了高保真模拟,其中将关于交通和飞行参数的听觉(语音)信息的空中交通管制表示与关于交通的等效信息的先进显示技术表示进行了比较。 (座舱显示qf交通信息)和飞行参数(数据链接显示)。在飞行员进行飞机模拟,监视外界交通并回读通信消息的同时,还检查了冗余组合。数据表明视觉呈现的成本要比听觉呈现的成本低,由正面向下的视觉扫描所介导的成本,而冗余呈现没有任何好处。第1部分中的效果通过分散注意力的多资源和抢占模型进行建模。在研究的第二部分中,在所有条件下的视觉扫描均符合先前实验得出的选择性注意的期望值模型。该模型占扫描数据方差的94%,在第二个验证实验中占90%。这项研究的实际或潜在应用包括选择适当的方式来呈现座舱信息和理解由于引入新航空技术而产生的任务策略的指南。

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