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Virtual Human-Building Interaction Experimentation Ontology (VHBIEO): A VHBIEO-Based Metadata-Driven Exploration

  • Chanachok Chokwitthaya
  • Yimin Zhu
  • Weizhuo Lu

Virtual reality (VR) offers promise as a tool for building performance simulations, especially when considering human-building interactions in buildings or spaces still under design. However, the absence of standardized data protocols impedes the consistent sharing of VR-related experiments and findings. This makes advancing VR experimentation as a reliable method for studying human-building dynamics challenging. The authors introduced the Virtual Human-Building Interaction Experimentation Ontology (VHBIEO) to address the challenge. VHBIEO seeks to standardize experimentation details as a domain-specific ontology, enhancing their interoperability. It includes essential experimentation concepts and employs semantic web technologies to ensure machine readability. Moreover, it integrates an application view (APV) to tailor details to specific experiments. Using VHBIEO-based metadata, this paper presents a case study aiming to standardize experiments that validate thermal sensations in immersive virtual environments (IVE), encompassing experimental protocol, variables, design, and data gathering. By exploring the main characteristics of VHBIEO-based metadata, the authors discuss its potential to improve the reliability of human-building interaction research

  • Keywords:
  • Ontology,
  • Metadata,
  • Human-building interaction,
  • Occupant behavior,
  • Virtual reality,
  • Building,
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Chanachok Chokwitthaya

Umeå University, Sweden - ORCID: 0000-0002-3285-0582

Yimin Zhu

Louisiana State University, United States - ORCID: 0000-0002-3871-4733

Weizhuo Lu

Umeå University, Sweden - ORCID: 0000-0002-9569-8602

  1. Chokwitthaya, C., Zhu, Y., & Lu, W. (2023). Ontology for experimentation of human-building interactions using virtual reality. Advanced Engineering Informatics, 55(February), 101903. DOI: 10.1016/j.aei.2023.101903
  2. Compton, M., Barnaghi, P., Bermudez, L., García-Castro, R., Corcho, O., Cox, S., Graybeal, J., Hauswirth, M., Henson, C., Herzog, A., Huang, V., Janowicz, K., Kelsey, W. D., Le Phuoc, D., Lefort, L., Leggieri, M., Neuhaus, H., Nikolov, A., Page, K., … Taylor, K. (2012). The SSN ontology of the W3C semantic sensor network incubator group. Journal of Web Semantics, 17, 25–32. DOI: 10.1016/j.websem.2012.05.003
  3. Ferndndez, M., Gmez-p, A., & Juristo, N. (1997). METHONTOLOGY : From Ontological Art Towards Ontological Engineering. 33–40.
  4. Gkoutos, G. V., Schofield, P. N., & Hoehndorf, R. (2012). The Units Ontology: a tool for integrating units of measurement in science. The Journal of Biological Databases and Curation, 2012, 1–7. DOI: 10.1093/database/bas033
  5. Hietanen, J. (2006). IFC model view definition format. International Alliance for Interoperability, 1–29.
  6. Hong, T., D’Oca, S., Turner, W. J. N., & Taylor-lange, S. C. (2015). An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework. Building and Environment, 92, 764–777. DOI: 10.1016/j.buildenv.2015.02.019
  7. Jarrar, M., & Meersman, R. (2008). Ontology Engineering -The DOGMA Approach. Advances in Web Semantics, 7–34.
  8. Musen, M. A. (2015). The Protégé project: A look back and a look forward. AI Matters. Association of Computing Machinery Specific Interest Group in Artificial Intelligence, 1(4). DOI: 10.1145/2557001.25757003
  9. Noy, N. F., & McGuinness, D. L. (2001). Ontology Development 101: A Guide to Creating Your First Ontology. In Knowledge Systems Laboratory, Stanford University.
  10. Pauwels, P., & Terkaj, W. (2019). ifcOWL ontology. Standards.Buildingsmart.Org. https://standards.buildingsmart.org/IFC/DEV/IFC4/ADD2_TC1/OWL/index.html
  11. Rentala, G., Zhu, Y., & Johannsen, N. M. (2021). Impact of outdoor temperature variations on thermal state in experiments using immersive virtual environment. Sustainability (Switzerland), 13(19). DOI: 10.3390/su131910638
  12. Saeidi, S., Chokwitthaya, C., Zhu, Y., & Sun, M. (2018). Spatial-temporal event-driven modeling for occupant behavior studies using immersive virtual environments. Automation in Construction, 94, 371–382. DOI: 10.1016/j.autcon.2018.07.019
  13. Scandolari, D., Calegari, G. R. C., Irene, C., & Scrocca, M. (2021). The Survey Ontology. https://cefriel.github.io/survey-ontology/docs/index.html
  14. Soldatova, L. N., & King, R. D. (2006). An ontology of scientific experiments. Journal of the Royal Society Interface, 3(11), 795–803. DOI: 10.1098/rsif.2006.0134
  15. Suárez-Figueroa, M. C., Gómez-Pérez, A., Motta, E., & Gangemi, A. (2012). Ontology engineering in a networked world. In M. C. Suárez-Figueroa, A. Gómez-Pérez, E. Motta, & A. Gangemi (Eds.), Ontology Engineering in a Networked World (1st ed.). Springer Berlin, Heidelberg. DOI: 10.1007/978-3-642-24794-1
  16. Uschold, M., & Gruninger, M. (1996). Ontologies: Principles, Methods and Applications. Knowledge Engineering Review, 11(2), 93–136.
  17. Zhu, Y., Saeidi, S., Rizzuto, T., Roetzel, A., & Kooima, R. (2018). Potential and challenges of immersive virtual environments for occupant energy behavior modeling and validation: A literature review. Journal of Building Engineering, 19, 302–319. DOI: 10.1016/j.jobe.2018.05.017
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  • Publication Year: 2023
  • Pages: 791-800

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  • Publication Year: 2023

Chapter Information

Chapter Title

Virtual Human-Building Interaction Experimentation Ontology (VHBIEO): A VHBIEO-Based Metadata-Driven Exploration

Authors

Chanachok Chokwitthaya, Yimin Zhu, Weizhuo Lu

DOI

10.36253/979-12-215-0289-3.79

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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