AUGMENTED REALITY DESIGN DECISION SUPPORT ENGINE FOR THE EARLY BUILDING DESIGN STAGE

被引:0
|
作者
Krakhoferand, Stefan [1 ]
Kaftan, Martin [2 ]
机构
[1] City Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
[2] Graz Univ Technol, Graz, Austria
关键词
Augmented Reality; Design Decision Support; Data Visualization;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Augmented reality has come a long way and experienced a paradigm shift in 1999 when the ARToolKit was released as open source. The nature of interaction between the physical world and the virtual-world has changed forever. Fortunately for the AECO industry, the transition from traditional Computer Aided Design to virtual building design phrased as Building Information Modeling has created a tremendous potential to adopt Augmented Reality. The presented research is situated in the early design stage of project inception and focuses on supporting informed collective decision-making, characterized by a dynamic back and forth analytical process generating large amounts of data. Facilitation aspects, such as data-collection, storage and access to enable comparability and evaluation are crucial for collective decision-making. The current research has addressed these aspects by means of data accessibility, visualization and presentation. At the core of the project is a custom developed Augmented Reality framework that enables data interaction within the design model. In order to serve as a collaborative decision support engine, the framework also allows multiple models and their datasets to be displayed and exercised simultaneously. The paper demonstrates in the case study the successful application of the AR tool during collaborative design decision meetings.
引用
收藏
页码:231 / 240
页数:10
相关论文
共 50 条
  • [1] Augmented reality visualisation of the built environment to support design decision making
    Moloney, Jules
    INFORMATION VISUALIZATION-BOOK, 2006, : 687 - 692
  • [2] Decision support system for the early stage of green building envelope design considering energy and maintainability
    Mohanta, Ashaprava
    Das, Sutapa
    ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT, 2023, 19 (02) : 163 - 182
  • [3] Development of a Decision Support Tool for nZEB (nearly Zero Emission Building) at the Early Design Stage
    Kang, Hae Jin
    JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING, 2015, 14 (02) : 475 - 481
  • [4] Notational support for the design of augmented reality systems
    Dubois, E
    da Silva, PP
    Gray, P
    INTERACTIVE SYSTEMS: DESIGN, SPECIFICATION AND VERIFICATION, 2002, 2545 : 74 - 88
  • [5] Development of window design guideline and tools for early stage decision support
    Oh, Ji Hyun
    Sung, Jae Eun
    Kim, Sun Sook
    CISBAT 2017 INTERNATIONAL CONFERENCE FUTURE BUILDINGS & DISTRICTS - ENERGY EFFICIENCY FROM NANO TO URBAN SCALE, 2017, 122 : 991 - 996
  • [6] Building Energy Prediction for Early-Design-Stage Decision Support: A Review of Data-driven Techniques
    Batish, Aman
    Agrawal, Avlokita
    PROCEEDINGS OF BUILDING SIMULATION 2019: 16TH CONFERENCE OF IBPSA, 2020, : 1514 - 1521
  • [7] Augmented Reality to Support Multi-Criteria Decision Making in Building Retrofitting
    Sangiorgio, Valentino
    Silvia, Martiradonna
    Fatiguso, Fabio
    2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2020, : 760 - 765
  • [8] Virtual reality-based decision support model for interior design and decoration of an office building
    Juan, Yi-Kai
    Chi, Hao-Yun
    Chen, Hsing-Hung
    ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2021, 28 (01) : 229 - 245
  • [9] An early-stage design decision-support tool for selecting building assemblies to minimise a building's life cycle energy demand
    Crawford, Robert H.
    Czerniakowski, Isabella
    Fuller, Robert J.
    LIVING AND LEARNING: RESEARCH FOR A BETTER BUILT ENVIRONMENT, 2015, : 457 - 466
  • [10] Early stage decision support for sustainable building renovation - A review
    Nielsen, Anne N.
    Jensen, Rasmus L.
    Larsen, Tine S.
    Nissen, Soren B.
    BUILDING AND ENVIRONMENT, 2016, 103 : 165 - 181