Augmented REality Sandtables (ARESs) Impact on Learning

Abstract

The use of augmented reality (AR) to supplement training tools, specifically sand tables, can produce highly effective systems at relatively low costs that can enhance operational capabilities. The interactive and adaptive nature of these technologies support distributed training for tactical engagement and enhanced-scenario customization. The Augmented REality Sandtable (ARES) is projected to enhance training and retention of spatial knowledge and spatial-reasoning skills over traditional maps (e.g., paper map and digitized 2-D displays) by providing multimodal and multisensory learning experiences. Empirical findings from an effectiveness evaluation indicate ARES supports significantly improved landmark-identification and distance-estimation performance as compared to a paper map and a 2-D digital display of a 3-D map. Additionally, users provided high ratings of perceived utility for ARES. This report details the methods used in the effectiveness evaluation, presents the research results, and provides a discussion of benefits of an AR-training solution as well as future research regarding AR and multimodal training-system design and development for the Military.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2016
Accession Number
AD1011719

Entities

People

  • David Yacht
  • Jack Hart
  • Jennifer M. Riley
  • Kelly S. Hale
  • Tarah N. Schmidt-daly

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Augmented Reality
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Data Science
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Information Science
  • Psychology
  • Statistical Analysis
  • Surveys
  • Test And Evaluation
  • Three Dimensional
  • Training
  • Two Dimensional
  • Virtual Reality

Readers

  • Computer Vision.
  • Human-Computer Interaction (HCI).
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.