9791221502893_79.pdf

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 find...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_79
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spelling oapen-20.500.12657-890532024-04-03T02:22:56Z Chapter Virtual Human-Building Interaction Experimentation Ontology (VHBIEO): A VHBIEO-Based Metadata-Driven Exploration Chokwitthaya, Chanachok Zhu, Yimin Lu, Weizhuo Ontology Metadata Human-building interaction Occupant behavior Virtual reality Building thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization 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 2024-04-02T15:44:58Z 2024-04-02T15:44:58Z 2023 chapter ONIX_20240402_9791221502893_22 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89053 eng Proceedings e report application/pdf n/a 9791221502893_79.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_79 Firenze University Press 10.36253/979-12-215-0289-3.79 10.36253/979-12-215-0289-3.79 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 10 Florence open access
institution OAPEN
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language English
description 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
title 9791221502893_79.pdf
spellingShingle 9791221502893_79.pdf
title_short 9791221502893_79.pdf
title_full 9791221502893_79.pdf
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title_full_unstemmed 9791221502893_79.pdf
title_sort 9791221502893_79.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_79
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