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

Autor:	Matthew S. Sherwood, Mohd Saif Usmani, Ion Juvina, Tejaswi Tamminedi, Gautam Kunapuli, Priya Ganapathy
Rok vydání:	2015
Předmět:	education.field_of_study Multimedia Computer science Population ComputerApplications_COMPUTERSINOTHERSYSTEMS Cognition computer.software_genre Task (project management) ComputingMilieux_COMPUTERSANDEDUCATION education TUTOR computer Dynamic Bayesian network computer.programming_language
Zdroj:	Foundations of Augmented Cognition ISBN: 9783319208152 HCI (15)
DOI:	10.1007/978-3-319-20816-9_56
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e773407ced9ce0b392e328e7be885219 https://doi.org/10.1007/978-3-319-20816-9_56 Zobrazit plný text záznamu