Comparative Analysis of Infrastructure Assessment Methodologies at the Small Unit Level

Abstract

This paper presents a comparative analysis of three different infrastructure assessment tools currently used by the U.S. Army's combat engineer small units squad, platoon, company. The infrastructure assessment tools included one pen and paper checklist and two software-based tools based on specialized handheld hardware for data collection in combat conditions. Evaluation was conducted using macroergonomic and applied cognitive task analysis methods with soldiers of varying levels of infrastructure assessment expertise. Each assessment method was evaluated based on performance time, errors, and accuracy and usability ergonomic and cognitive challenges. We found that soldiers documented more accurate data using handheld digital devices instead of pen-and-paper assessment forms, but there was little difference in time between the methods. Contrary to initial expectation, we also found that most soldiers prefer a slightly more difficult to use handheld assessment device with customized checklists rather than an easier to use, less restrictive device. Critiques developed by this research can be used to improve engineering and construction organizations as well as add to our design guidelines for portable infrastructure assessment tools and methods.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2009
Accession Number
ADA520969

Entities

People

  • Marc J. Distefano
  • William J. O'brien

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Age Groups
  • Computers
  • Databases
  • Digital Cameras
  • Engineering
  • Engineers
  • Global Positioning Systems
  • Human-Computer Interaction
  • Infrastructure
  • Management Personnel
  • Military Applications
  • Mobile Devices
  • Mobile Phones
  • Organizational Structure
  • Personal Digital Assistants
  • Systems Engineering
  • Task Performance And Analysis

Fields of Study

  • Engineering

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Instructional Design and Training Evaluation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.