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N-SEEV in SOAS: Predicting Time to Notice for Multi-Modal Cockpit Alerting Events

机译:SOAS中的N-SEEV:预测多模式座舱警报事件的通知时间

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This paper presents the current work to extend the N-SEEV model of visual attention to both the auditoryand tactile modalities in support a cockpit adaptive automation system for pilot spatial disorientation.Cockpit countermeasure systems use visual, auditory and tactile modalities to communicate problems to thepilot. The SOAS spatial orientation aiding system uses all three modalities to support a disoriented pilot.The system initiates increasingly intrusive countermeasure as it determines that the probability and severityof a detected disorientation is increasing. N-SEEV has been included within SOAS to support the change tocountermeasure levels based on the prediction of the pilot noticing countermeasure onset. Previous versionsof N-SEEV could predict a time-to-notice for the onset of a visual cockpit countermeasure. In this work, NSEEVis extended to include noticing predictions for both the auditory and tactile modes.
机译:本文介绍了将视觉注意的N-SEEV模型扩展到听觉的当前工作 和触觉模式,以支持驾驶舱自适应自动化系统进行飞行员的空间迷失方向。 座舱对策系统使用视觉,听觉和触觉方式将问题传达给驾驶员。 飞行员。 SOAS空间定位辅助系统使用所有这三种模式来支持迷失方向的飞行员。 系统在确定概率和严重性时启动了越来越多的侵入性对策 检测到的迷失方向的数量正在增加。 N-SEEV已包含在SOAS中,以支持向 对策水平,基于飞行员注意到对策发作的预测。之前的版本 N-SEEV的预测可以预测视觉驾驶舱对策发作的时间。在这项工作中,NSEEV 扩展到包括听觉和触觉模式的注意预测。

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