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首页> 外文会议>International conference on human-computer interaction;International conference on augmented cognition >Development of a Smart Tutor for a Visual-Aircraft Recognition Task
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Development of a Smart Tutor for a Visual-Aircraft Recognition Task

机译：开发用于视觉飞机识别任务的智能导师

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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 aircraft 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：该项目的目的是设计一个智能导师，向军事人员教授视觉飞机识别（VACR）技能。在极端的认知需求下，士兵必须在交战之前学会快速识别和识别飞机。智能导师的目标是培训受训者以了解飞机的特定功能（称为机翼，发动机，机身和尾部WEFT），这将帮助他们对飞机识别的程序进行程序化。我们进行了实证研究（fMRI，眼动追踪，行为），并开发了基于ACT-R架构的认知模型，该模型可模拟受训者的表现。在本文中，我们介绍了从ACT-R建模中获得的见识，而ACT-R建模又将用于开发VACR智能导师。

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