KURASHIKI VIEWER: Qualitative Evaluations of Architectural Spaces inside Virtual Reality

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

2 Scopus citations

Abstract

This paper discusses how virtual reality (VR) environments can be employed as a data collection tool beyond visualization and representation tools through a simple experiment in a VR space and speculates about its potential applications. Using a VR model that runs on a web browser based on an existing historic town in Japan called Kurashiki, the experiment asked 30 recruited participants to freely walk around and leave ratings on a 5-point scale on any buildings or objects appealing to them. The proposed system in this paper can display points of interest of multiple participants using heatmaps superimposed on a map that can help users visually understand statistical preferences among them. The project's goal is to provide a quantitative means for qualitative values of architectural and urban spaces, making such data more shareable. We intended to show that such a platform could help multiple stakeholders reach better consensuses and possibly collect training datasets for machine learning models that could extract features related to the attractiveness in architecture and urban spaces.

Original languageEnglish (US)
Title of host publicationPOST-CARBON, Proceedings of the 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022, Volume 1
EditorsJeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth
PublisherThe Association for Computer-Aided Architectural Design Research in Asia
Pages11-18
Number of pages8
ISBN (Print)9789887891772
DOIs
StatePublished - 2022
Event27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022 - Virtual, Online
Duration: Apr 9 2022Apr 15 2022

Publication series

NameProceedings of the International Conference on Computer-Aided Architectural Design Research in Asia
ISSN (Print)2710-4257
ISSN (Electronic)2710-4265

Conference

Conference27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2022
CityVirtual, Online
Period4/9/224/15/22

All Science Journal Classification (ASJC) codes

  • Architecture
  • Building and Construction
  • Computer Graphics and Computer-Aided Design
  • Materials Science (miscellaneous)
  • Modeling and Simulation

Keywords

  • Crowdsourcing
  • SDG 10
  • SDG 11
  • Virtual Reality

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