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Collaborative Augmented Reality for Better Standards

Published

Author(s)

Matthew L. Aronoff, John V. Messina

Abstract

Concurrent engineering depends on clear communication between all members of the development process. As that communication becomes more and more complex, the quality of the standards used to move and understand that information likewise becomes more and more important. If the standard is incomplete, redundant, or ambiguous, most of the expected benefits are lost. In order to improve data exchange standards, explicit data models are required. However, creating those data models is a process that requires collaboration between domain experts. What is needed is a solution that encourages interaction without requiring a high level of data modeling expertise. Focus is a software tool designed to provide such an environment. It is a distributed design and conferencing application which uses augmented reality to allow domain experts to come together in real time for data modeling. By developing Focus, we hope to allow domain experts to create data models without first having to learn complex UML modeling programs. Because of the networked nature of Focus, it is easier to ensure the participation of the best domain experts regardless of location. This paper details the development, features, and expected benefits of Focus in a collaborative engineering environment.
Proceedings Title
Complex Systems Concurrent Engineering: Collaboration, Technology Innovation, and Sustainability
Conference Dates
July 16-20, 2007
Conference Location
Sao Jose Dos Campos, BR
Conference Title
14th ISPE International Conference on Concurrent Engineering

Keywords

3d, collaboration, data modeling, UML, standards development, Ruby

Citation

Aronoff, M. and Messina, J. (2007), Collaborative Augmented Reality for Better Standards, Complex Systems Concurrent Engineering: Collaboration, Technology Innovation, and Sustainability, Sao Jose Dos Campos, BR, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=32769 (Accessed May 27, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created July 1, 2007, Updated February 19, 2017