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Development of a Smart Tutor for a Visual-Aircraft Recognition Task

机译：开发智能导师的视觉飞机识别任务

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The goal of this project is to design an intelligent tutor to teach visual aircraft recognition (VACR) skills to military population. Under extreme cognitive demand, soldiers must learn to rapidly recognize and identify the aircraft prior to engagement. The goal of the smart tutor is to train the trainees to look at specific features (called Wings, Engine, Fuselage and Tail- WEFT) of the air-craft that will help them proceduralize the skill of aircraft recognition. We have conducted an empirical (fMRI, eye-tracking, behavior) study and developed a cognitive model based on ACT-R architecture that emulates trainee performance. In this paper, we present insights gained from ACT-R modeling which, in turn, will be used to develop a VACR smart tutor.
机译：该项目的目标是设计一个智能导师，以教导视觉飞机识别（VICR）技能对军事人口。在极端认知需求下，士兵必须在参与之前学会快速识别和识别飞机。智能导师的目标是训练受训人员查看空气工艺的特定功能（称为翅膀，发动机，机身和尾部），这将有助于他们程序化飞机识别的技能。我们已经进行了实证（FMRI，眼追踪，行为）研究，并根据基于ACT-R架构制定了一种认知模型，以模拟实习生性能。在本文中，我们目前从ACT-R模型中获得的见解，反过来，它将用于开发VIS智能导师。

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