<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper integrates the concept of user perception into the presentation of architectural interior spaces. It posits that by employing virtual presentation modes, interior design products are fully demonstrated to users, enhancing their perception of the available information and thereby facilitating the optimization of interior design. The research systematically extracts the influencing factors of user perception by conducting a thorough analysis and synthesis of the literature pertinent to architectural interiors. Additionally, this study combines findings from a questionnaire survey with methods of correlation and regression analysis to further substantiate the identified factors influencing user perception. On this basis, combined with the establishment of a refined model based on real data sources and an indoor modeling method based on tree hierarchy, an indoor 3D virtual scene is constructed with the help of Unity3D software to realize the optimization of architectural space interior design. Overall style of architectural interior space = −2.304 + 0.381*furniture + 0.274*soft furnishing color + 0.205*hard furnishing material + 0.165*lamps + 0.183*hard furnishing color + 0.106*accessories + 0.124*soft furnishing material + 0.115*fabric. Senior and graduate users of higher education had the same attitude towards “personalization” of interior design (both scored 4.33, close to “approved”), while faculty members had the lowest rating (2.6). This study can serve as a guide for the presentation of architectural interiors.</p>
</abstract>

This paper integrates the concept of user perception into the presentation of architectural interior spaces. It posits that by employing virtual presentation modes, interior design products are fully demonstrated to users, enhancing their perception of the available information and thereby facilitating the optimization of interior design. The research systematically extracts the influencing factors of user perception by conducting a thorough analysis and synthesis of the literature pertinent to architectural interiors. Additionally, this study combines findings from a questionnaire survey with methods of correlation and regression analysis to further substantiate the identified factors influencing user perception. On this basis, combined with the establishment of a refined model based on real data sources and an indoor modeling method based on tree hierarchy, an indoor 3D virtual scene is constructed with the help of Unity3D software to realize the optimization of architectural space interior design. Overall style of architectural interior space = −2.304 + 0.381*furniture + 0.274*soft furnishing color + 0.205*hard furnishing material + 0.165*lamps + 0.183*hard furnishing color + 0.106*accessories + 0.124*soft furnishing material + 0.115*fabric. Senior and graduate users of higher education had the same attitude towards “personalization” of interior design (both scored 4.33, close to “approved”), while faculty members had the lowest rating (2.6). This study can serve as a guide for the presentation of architectural interiors.

Research on the optimization of interior design of architectural space considering user perception

Changsha University of Science & Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper integrates the concept of user perception into the presentation of architectural interior spaces. It posits that by employing virtual presentation...

Research on the optimization of interior design of architectural space considering user perception

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 29. Feb. 2024

Akzeptiert: 18. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1648

Schlüsselwörter
Architectural interior space, User perception, Regression analysis, Correlation analysis, 3D scene modeling

© 2024 Long Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the optimization of interior design of architectural space considering user perception

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 29. Feb. 2024

Akzeptiert: 18. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1648

SchlüsselwörterArchitectural interior space, User perception, Regression analysis, Correlation analysis, 3D scene modeling

© 2024 Long Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Architectural interior space, User perception, Regression analysis, Correlation analysis, 3D scene modeling