Mission-based Scenario Research: Experimental Design And Analysis

Abstract

In this paper, we discuss a neuroimaging experiment that employed a mission-based scenario (MBS) design, a new approach for designing experiments in simulated environments for human subjects. This approach aims to enhance the realism of the Soldier-task-environment interaction by eliminating many of the tightly-scripted elements of a typical laboratory experiment; however, the absence of these elements introduces several challenges for both the experimental design and statistical analysis of the experimental data. Here, we describe an MBS experiment using a simulated, closed-hatch crewstation environment. For each experimental session, two Soldiers participated as a Commander-Driver team to perform six simulated low threat security patrol missions. We discuss challenges faced while designing and implementing the experiment before addressing analysis approaches appropriate for this type of experimentation. We conclude by highlighting three example transition pathways from MBS experiments to enhanced Army capabilities using a class of neurotechnologies called Brain-Computer Interaction Technologies.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA556740

Entities

People

  • Brent Lance
  • Chris Manteuffel
  • Jean M Vettel
  • Kelvin Oie
  • Marcel Cannon
  • Matthew Jaswa
  • Tony Johnson
  • Victor Paul

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Cognition
  • Data Analysis
  • Detection
  • Engineering
  • Environment
  • Experimental Design
  • Ground Vehicles
  • Military Research
  • Neuroimaging
  • Neurotechnology
  • Security
  • Simulations
  • Simulators
  • Systems Engineering
  • Target Detection
  • Task Performance And Analysis
  • Transitions

Fields of Study

  • Computer science

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.