Developing a Cognitive Model of Expert Performance for Ship Navigation Maneuvers in an Intelligent Tutoring System

reportActive / Technical Report | Accession Number: ADA553623 | Open PDF

Abstract:

The goal of this project is to develop a cognitive model of expert ship-handling performance. This model was integrated with an intelligent tutoring system and an immersive visual simulation used by the U.S. Navy. This intelligent tutor and expert cognitive model written in a Java-based version of ACT-R provides feedback to the student based on the student actions in order to reduce workload on the instructors. The nature of ship navigation and the requirements for the intelligent tutor presented unique challenges for development. This paper describes how the resulting cognitive model balances a need for expert performance while compensating for student error, uses perceptual heuristics when the ACT-R vision module is not feasible, and how these and other issues affected model development. Future plans for system test and evaluation are also discussed in the context of improving training

Author(s):
Wong, Jason H. ; Kirschenbaum, Susan S. ; Peters, Stanley
Author Organization(s):
NAVAL UNDERSEA WARFARE CENTER DIV NEWPORT RI
Descriptive Note:
Conference paper
Supplementary Note:
See also ADA538937. Published in the Proceedings of the Conference on Behavior Representation in Modeling and Simulation (19th), held in Charleston, South Carolina, 21 - 24 March 2010 p29-36. Sponsored in part by AFRL, ARI, ARL, DARPA, & ONR.
Pagination:
0009

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Monitor Series:
ONR
 Subject Terms
Joint Capability Areas:
JCA_3_Force Application; JCA_3.1.1_Maneuver to Engage; JCA_3.1_Maneuver; JCA_4_Logistics; JCA_5_Command and Control; JCA_5.5.2_Task; JCA_5.5_Direct; JCA_1_Force Support; JCA_1.2_Force Preparation; JCA_5.3_Planning; JCA_1.2.1_Training; JCA_1.2.3_Educating; JCA_6.4.1_Secure Information Exchange; JCA_8_Building Partnerships
Modernization Areas:
AI and Machine Learning
Communities of Interest:
Ground and Sea Platforms
Descriptor(s):
*MARINE NAVIGATION, *SHIPS, *SIMULATION, COGNITION, HEURISTIC METHODS, INSTRUCTORS, INTEGRATED SYSTEMS, MANEUVERS, MODELS, NAVIGATION, NAVY, PERCEPTION, REPRINTS, REQUIREMENTS, STUDENTS, SURFACE NAVIGATION, SYMPOSIA, TRAINING
Field(s)/Group(s):
Test Facilities, Equipment and Methods, Underwater and Marine Navigation and Guidance
Keyword(s):
COVE(CONNING OFFICER VIRTUAL ENVIRONMENT), SHIP NAVIGATION, COGNITIVE TASK ANALYSIS
Report Date:
2010 Mar 01
Creation Date:
2012 Jan 30