TY - GEN
T1 - Development of a Smart Tutor for a Visual-Aircraft Recognition Task
AU - Ganapathy, Priya
AU - Juvina, Ion
AU - Tamminedi, Tejaswi
AU - Kunapuli, Gautam
AU - Sherwood, Matt
AU - Usmani, Mohd Saif
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - ACT-R models
KW - Dynamic bayesian networks
KW - Intelligent tutoring systems
KW - Smart tutor
KW - Visual aircraft recognition
UR - http://www.scopus.com/inward/record.url?scp=84947272517&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84947272517&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-20816-9_56
DO - 10.1007/978-3-319-20816-9_56
M3 - Conference contribution
AN - SCOPUS:84947272517
SN - 9783319208152
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 583
EP - 594
BT - Foundations of Augmented Cognition
A2 - Fidopiastis, Cali M.
A2 - Schmorrow, Dylan D.
PB - Springer Verlag
T2 - 9th International Conference on Augmented Cognition, AC 2015 Held as Part of 17th International Conference on Human Computer Interaction, HCI International 2015
Y2 - 2 August 2015 through 7 August 2015
ER -