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

Priya Ganapathy, Ion Juvina, Tejaswi Tamminedi, Gautam Kunapuli, Matt Sherwood, Mohd Saif Usmani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish
Title of host publicationFoundations of Augmented Cognition
EditorsCali M. Fidopiastis, Dylan D. Schmorrow
PublisherSpringer Verlag
Pages583-594
Number of pages12
ISBN (Electronic)978-3-319-20816-9
ISBN (Print)9783319208152
DOIs
StatePublished - 2015
Event9th International Conference on Augmented Cognition, AC 2015 Held as Part of 17th International Conference on Human Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: Aug 2 2015Aug 7 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9183
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Augmented Cognition, AC 2015 Held as Part of 17th International Conference on Human Computer Interaction, HCI International 2015
Country/TerritoryUnited States
CityLos Angeles
Period8/2/158/7/15

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • ACT-R models
  • Dynamic bayesian networks
  • Intelligent tutoring systems
  • Smart tutor
  • Visual aircraft recognition

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