A virtual reality approach for minimizing information loss in multi-user, scalable environments

Bryan Dickens, Owen Shartle, Steven Sellers, Conrad S. Tucker, Gabe Harms

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The authors of this work propose a virtual reality approach that overcomes two fundamental challenges experienced in physical learning environments; i) variations in audial quality, and ii) variations in visual quality, in an effort to achieve individual customization of information content. In physical brick and mortar environments, the dissemination of information is influenced by the medium that the information travels through, which is typically distorted by line of sight constraints and constraints that distort sound waves. The fundamental research question is how to achieve consistent quality of information being disseminated, as the number of audience members increases? There exists a knowledge gap relating to the creation of a scalable, networked, system for enabling real time, information exchange. The authors propose a virtual reality approach to address these limitations of physical learning spaces that minimizes the variability in audial and visual information dissemination. A real time, networked architecture is proposed that enables multiple individuals to simultaneously experience the same quality of audial and visual information, based on the optimal geospatial position for audial and visual exposure determined. A case study is introduced that first quantifies simulations of the audial and visual information loss experienced by audience members receiving information at different geospatial locations in a brick and mortar environment. This information loss is compared against the proposed virtual reality architecture that minimizes the variation in information dissemination. The authors demonstrate that the proposed solution is an improved, scalable multi-user system, unlike brick and mortar environments that are constrained by size and geospatial positioning.

Original languageEnglish (US)
Title of host publication35th Computers and Information in Engineering Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume1B-2015
ISBN (Electronic)9780791857052
DOIs
StatePublished - Jan 1 2015
EventASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015 - Boston, United States
Duration: Aug 2 2015Aug 5 2015

Other

OtherASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015
CountryUnited States
CityBoston
Period8/2/158/5/15

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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