Rules of the Road

Abstract

Navy officers need knowledge of Navigation Rules of the Road and related strong seamanship skills to reduce collision risk and improve tactical warfighter performance. The development of a standalone trainer for teaching navigation rules of the road will provide strong tactical training built on a foundation of excellent seamanship. Our progress in developing such a standalone simulation trainer generated two research problems that need to be resolved in order to proceed further, complete development, and deploy a functional, useful product to the Navy. Proposed Solution: We propose to investigate and resolve two issues on the critical path to developing and delivering a Rules of the Road (RoR) standalone, intelligent, adaptive simulation trainer to the Surface Warfare Officer’s School (SWOS) in Newport, RI. These research issues arose during the development of a RoR prototype designed to reduce training cost, maximize training impact, and shorten training time. The newly perceived need for both novice and expert training and the need to develop both laboratory and shipboard versions necessitated more scenario automation and more complex scenario assessment. These needs directly impact training realism and feedback, and thus jeopardize RoR’s goal of delivering ubiquitous, engaging, and effective scenario based simulation training. These needs lead to our research objectives.Objectives: ? Investigate and develop an automated, real-time, scenario reconfigurator that finds and realistically maneuvers a set of vessels to move and create a scenario that teaches and tests knowledge and skills related to a specific US Coast Guard’s Navigation Rules. This reconfiguration happens dynamically. While the student is in the simulation working on one part of a scenario, the re-configurator needs to continuously monitor the scenario and continuously reconfigure vessels in the scenario to create the next learning opportunity. ? Investigate and develop robust methods for assessing non-novice student performance to provide useful feedback even in the absence of instructors. Novices will use RoR in a classroom laboratory environment where instructors will provide expert assessment. More experienced users practicing outside the lab need more automated assessment. ? Transfer research results to help deploy RoR at SWOS.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N000141512015

Entities

People

  • Sushil J. Louis

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Nevada, Reno

Tags

Readers

  • Artificial Intelligence
  • Distributed Systems and Data Platform Development
  • Instructional Design and Training Evaluation.