Research on the Material and Spatial Psychological Perception of the Side Interface of an Underground Street Based on Virtual Reality
Author(s): |
Liang Sun
Shanmin Ding Yanbing Ren Ming Li Bo Wang |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 16 September 2022, n. 9, v. 12 |
Page(s): | 1432 |
DOI: | 10.3390/buildings12091432 |
Abstract: |
In the context of the rapid development of the construction of urban underground spaces in China, people’s demands for the quality of these spaces have become increasingly prominent. As an important part of underground spaces, the different materials used in underground street interfaces give rise to different spatial experiences, which are important for creating a comfortable underground space atmosphere. However, current research on the perception of underground street spaces lacks an exploration of the influence of materials, and most research on materials focuses on the interface design of above-ground commercial streets. In this study, material characteristics were extracted as independent variables, 17 scenes were orthogonalized, and the efficient simulation characteristics of VR were used to build a scene model for the experiment. Participants’ evaluations of the scenes were measured during the experiment, and conclusions were drawn through scene ranking and one-way ANOVA. The results showed that the use of white, high-finish materials with non-directional textures and low bumpiness for the side interface was more in line with the participants’ preferences. This study provides new ideas for the design of high-quality underground commercial streets. |
Copyright: | © 2022 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
14.2 MB
- About this
data sheet - Reference-ID
10692625 - Published on:
23/09/2022 - Last updated on:
10/11/2022