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Cross-reality environments in smart buildings to advance STEM cyberlearning

Authors
  • De Amicis, Raffaele1
  • Riggio, Mariapaola2
  • Shahbaz Badr, Arash1
  • Fick, Jason3
  • Sanchez, Christopher A.4
  • Prather, Eric Andrew1
  • 1 Oregon State University, Electrical Engineering and Computer Science, College of Engineering, 1148 Kelley Engineering Center, 2500 NW Monroe Ave, Corvallis, OR, 97331, USA , Corvallis (United States)
  • 2 Oregon State University, Wood Science and Engineering, College of Forestry, 119 Richardson Hall, 3180 SW Jefferson Way, Corvallis, OR, 97331, USA , Corvallis (United States)
  • 3 Oregon State University, Music Technology and Production, College of Liberal Arts, 113B Community Hall, 1650 SW Pioneer Place, Corvallis, OR, 97331, USA , Corvallis (United States)
  • 4 Oregon State University, School of Psychological Science, College of Liberal Arts, 2950 SW Jefferson Way, Corvallis, OR, 97331, USA , Corvallis (United States)
Type
Published Article
Journal
International Journal on Interactive Design and Manufacturing (IJIDeM)
Publisher
Springer-Verlag
Publication Date
Feb 04, 2019
Volume
13
Issue
1
Pages
331–348
Identifiers
DOI: 10.1007/s12008-019-00546-x
Source
Springer Nature
Keywords
License
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Abstract

Real time data associated with the Building Information Model plays a critical role in the interpretation of the built environment, which is particularly relevant as an increasing number of education facilities and institutions promote sustainable engineering practices and monitoring data available to the public. However, it is challenging for non-technical audiences to fully comprehend or use information concealed in scientific data related to the performance of structures and materials. It is especially difficult for them to connect these concepts to physical contexts and phenomena. In this paper, we present how cross-reality paradigms in Architecture, Engineering, and Construction, coupled with multimodal representation techniques, enhance data literacy in both professionals and laypeople alike. In particular, we present the design of a learning environment where cutting-edge holographic interfaces and display technologies are combined with sonified and visual data to create a more immersive environment for data analysis and exploration, empowering users with situated data awareness and new ways of understanding real-time data.

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