Skill Transfer and Virtual Training for IND Response Decision-Making: Game Design for Disaster Response Training

Abstract

In this report, we present our process for designing game-based training tools for disaster response decision making. The process began by identifying six different potential game types and mapping them to the challenging decisions and required skills that we gathered in our domain analysis completed in previous work. We document our fundamental design principles, which include game development techniques to ensure that the games produced teach the intended lessons and that the skills used by players will transfer to their operational positions. We describe the complete design process in two case studies featuring serious game prototypes. We analyze the prototypes with a combination of informal subject matter expert (SME) feedback, artificial intelligence learning algorithm analysis, and assessment of the realism of game strategies used by expert players.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2016
Accession Number
AD1033763

Entities

People

  • Adam S. Norige
  • Charles E. Rose
  • J. Mccarthy
  • Mark J. Kozar
  • Paul Dipastina
  • Robert M. Seater

Organizations

  • MIT Lincoln Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Best Practices
  • Case Studies
  • Computer Programs
  • Computers
  • Department Of Homeland Security
  • Disasters
  • Distance Learning
  • Emergencies
  • Emergency Response
  • First Responders
  • Floods
  • Governments
  • Storm Surges
  • Students
  • Therapy
  • Training

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Military Training and Readiness Simulation

Technology Areas

  • AI & ML