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INTELLIGENT MULTIMODAL SIGNAL ADAPTATION SYSTEM (IMSAS)

机译:智能多模态信号自适应系统(IMSAS)

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As cockpits become more complex, pilots must monitor more data in the normaloperation of an aircraft including the states of automated systems. Our objective was todemonstrate that pilots can achieve a greater level of situational awareness when keyinformation is presented in an untaxed modality at the proper time. We modeled aportion of a flight and developed predictor values that we could use to calculate whetheror not a pilot noticed an alert. We first recorded some baseline measures of these times,and then used MIDA (Multimodal Interface Design Advisor) to suggest optimalmodalities for the signals. We then tested a proposed system that would anticipate aviolation (I.e., an air speed violation) and present the appropriate signal with some leadtime.IMSAS (Intelligent Multimodal Signal Adaptation System) continuously assessesthe cockpit environment, forecasts airspeed state into the future, and, if it recognizes aneed to communicate to the pilot situational information, determines the proper modalityin which to present a signal. This study showed an improvement in the reaction time to asignal of over 50% over the baseline. Although further research is needed, this studyshows that IMSAS has the potential to improve pilots’ response time to in-cockpit alertssuch as airspeed violations.
机译:随着座舱变得越来越复杂,飞行员必须在飞机的正常运行中监视更多数据,包括自动化系统的状态。我们的目标是证明,如果在适当的时候以免税方式提供关键信息,飞行员可以提高情景意识。我们对飞行的一部分进行了建模,并开发了可用于计算飞行员是否注意到警报的预测值。我们首先记录了这些时间的一些基线度量,然后使用MIDA(多模式接口设计顾问)来建议信号的最佳模式。然后,我们测试了一个拟议的系统,该系统可以预测到航空干扰(即违反空气速度)并在提前期提供适当的信号.IMSAS(智能多模式信号自适应系统)不断评估驾驶舱环境,预测未来的空速状态,以及是否它识别出能够与飞行员进行情境信息交流的能力,确定呈现信号的适当方式。这项研究表明,信号反应时间比基线时间缩短了50%以上。尽管还需要进一步的研究,但这项研究表明IMSAS有可能改善飞行员对驾驶舱内警报(如空速违规)的响应时间。

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