Virtual reality-based decision support model for interior design and decoration of an office building

被引:17
|
作者
Juan, Yi-Kai [1 ]
Chi, Hao-Yun [1 ]
Chen, Hsing-Hung [1 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Architecture, Taipei, Taiwan
关键词
Design; Process; Methodology; Decision support systems; Information and communication technology (ICT) applications; ENVIRONMENTS; TECHNOLOGIES; EXPERIENCE; SELECTION; SYSTEM; ENERGY;
D O I
10.1108/ECAM-03-2019-0138
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose The purpose of this paper is to develop a virtual reality (VR)-based and user-oriented decision support system for interior design and decoration. The four-phase decision-making process of the system is verified through a case study of an office building. Design/methodology/approach Different "spatial layouts" are presented by VR for users to decide their preference (Phase 1). According to the selected spatial layout, a "spatial scene" is constructed by VR and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is used to determine the spatial scene preference (Phase 2). Based on the binary integer programming method, the system provides the optimal preliminary solution under a limited decoration budget (Phase 3). Finally, the consistency between the overall color scheme and pattern is fine-tuned by VR in order to obtain the final solution (Phase 4). Findings The questionnaire survey results show that decision makers generally affirm the operation and application of VR, and especially recognize the advantages in the improvement of VR-based interior design feasibility, communication efficiency and design decision-making speed. The optimization of the costs and benefits enables decision makers to effectively evaluate the impact of design decisions on subsequent project implementation during the preliminary design process. Originality/value The VR-based decision support system for interior design retains the original immersive experience of VR, and offers a systematic multiple criteria decision- making and operations research optimization method, thus, providing more complete decision-making assistance. Compared with traditional design communication, it can significantly reduce cognitive differences and improve decision-making quality and speed.
引用
收藏
页码:229 / 245
页数:17
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