Comparative Evaluation of Display Technologies for Collaborative Design Review

Abstract

The effectiveness of five display technologies for supporting a collaborative workspace design review was compared. Participants searched for design flaws in a model of the front dashboard of a vehicle including an in-vehicle navigation system. The display types were 2D CRT, 3D CRT, 3D via Curved plasma display, a large DataWall display, and a cave automatic virtual environment (CAVE). Detection accuracy, time, and usability measures were obtained. The results indicated that detection accuracy was higher for 3D CRT and Curved displays than the 2D display or more immersive DataWall and CAVE displays. Additionally, a speed-accuracy trade-off was observed such that detection time was longer for 3D CRT and Curved displays than for 2D, or the more immersive displays. Subjective measures revealed that participants' comfort and confidence level was lower with the 2D displays than the 3D displays. Lack of sufficient training time is likely to have affected detection accuracy with the more immersive 3D displays. Overall, the use of the 3D CAD model on a standard CRT or a Curved display was the most cost-effective for collaborative design review.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2009
Accession Number
ADA510689

Entities

People

  • Andrea Scipione
  • Justin G. Hollands
  • Lochlan Magee
  • Mike Greenley
  • Ming Hou

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Communication Systems
  • Computer Graphics
  • Computers
  • Data Visualization
  • Detection
  • Display Systems
  • European Communities
  • Human Systems Integration
  • Human-Machine Interaction
  • Human-Machine Interfaces
  • Liquid Crystal Displays
  • Test And Evaluation
  • Three Dimensional
  • Two Dimensional
  • Virtual Reality
  • Visualizations

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Instructional Design and Training Evaluation.
  • Sensor Fusion and Tracking Systems.