Article: Optimised design of commercial building interior spaces and landscapes using enhanced ResNet and virtual reality technology Journal: International Journal of Reasoning-based Intelligent Systems (IJRIS) 2026 Vol.18 No.10 pp.60 - 71 Abstract: To address the limitations of traditional commercial building design, this study proposes an optimisation method integrating an improved ResNet model with VR technology. The enhanced ResNet50 model, incorporating a CBAM attention mechanism and multi-scale feature fusion, quantifies key metrics like spatial comfort and traffic efficiency, achieving 94.7% feature recognition accuracy. A VR platform then generates interactive scenes based on model outputs to collect real-time user feedback. Experiments on three commercial buildings showed that after optimisation, space utilisation increased by 15.2%, landscape satisfaction rose by 21.6%, and traffic efficiency improved by 18.9%. This data-driven, user-centred approach offers significant practical and academic value for commercial design. Inderscience Publishers - linking academia, business and industry through research

Title: Optimised design of commercial building interior spaces and landscapes using enhanced ResNet and virtual reality technology

Authors: Ni Yin

Addresses: School of Humanities and Arts, Xingzhi College of Xi'an University of Finance and Economics, Xi'an, 710000, China

Abstract: To address the limitations of traditional commercial building design, this study proposes an optimisation method integrating an improved ResNet model with VR technology. The enhanced ResNet50 model, incorporating a CBAM attention mechanism and multi-scale feature fusion, quantifies key metrics like spatial comfort and traffic efficiency, achieving 94.7% feature recognition accuracy. A VR platform then generates interactive scenes based on model outputs to collect real-time user feedback. Experiments on three commercial buildings showed that after optimisation, space utilisation increased by 15.2%, landscape satisfaction rose by 21.6%, and traffic efficiency improved by 18.9%. This data-driven, user-centred approach offers significant practical and academic value for commercial design.

Keywords: improving ResNet; virtual reality technology; commercial buildings; indoor space; optimisation landscape design.

DOI: 10.1504/IJRIS.2026.152541

International Journal of Reasoning-based Intelligent Systems, 2026 Vol.18 No.10, pp.60 - 71

Received: 12 Nov 2025
Accepted: 24 Dec 2025
Published online: 26 Mar 2026 *

Title: Optimised design of commercial building interior spaces and landscapes using enhanced ResNet and virtual reality technology

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