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Presentation
Development of a Smart Tutor for a Visual-Aircraft Recognition Task
Lecture Notes in Computer Science
  • Priya Ganapathy
  • Ion Juvina, Wright State University - Main Campus
  • Tejaswi Tamminedi
  • Gautam Kunapuli
  • Matthew Sherwood, Wright State University - Main Campus
  • Mohd Saif Usmani, Wright State University - Main Campus
Document Type
Conference Proceeding
Publication Date
1-1-2015
Catalog Record
Catalog Record
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.
Comments

Presented at the 9th International Conference on Augmented Cognition, Los Angeles, CA, August 2-7, 2015.

DOI
10.1007/978-3-319-20816-9_56
Citation Information
Priya Ganapathy, Ion Juvina, Tejaswi Tamminedi, Gautam Kunapuli, et al.. "Development of a Smart Tutor for a Visual-Aircraft Recognition Task" Lecture Notes in Computer Science Vol. 9183 (2015) p. 583 - 594 ISSN: 9783319208152
Available at: http://works.bepress.com/ion_juvina/47/