Optimizing Building Information Modeling System Design Elements for Enhanced User Experience: A Multidimensional Approach

In Building Information Modeling (BIM) system platforms, ensuring the fulfillment of users' functional and emotional needs alongside the achievement of design objectives remains paramount. Through multidimensional analysis employing methodologies such as questionnaire surveys and interviews within specific contexts, user requirements were identified. The utilization of the KANO model facilitated the categorization of these requirements, while Quality Function Deployment (QFD) was instrumental in translating them into concrete design elements. This process illuminated two pivotal factors in strategizing BIM system design: interface layout and color selection. The employment of the Sparrow Search Algorithm (SSA) enabled the identification of optimal layout configurations, and an enhanced Growing Neural Gas (GNG) clustering algorithm was applied to distill feature colors from source images of existing platforms. This led to the establishment of a color library tailored for interface design within BIM systems. Furthermore, a collection of sensory imagery vocabulary was amassed, and semantic differential analysis was applied to align color perceptions with specific vocabularies. Grey clustering analysis further facilitated the prediction of color schemes. By integrating these methodologies, a case study on a BIM system platform was conducted, leading to an interface design that demonstrably improved user interaction when compared to the original platform. This was evidenced by enhanced efficiency and a reduction in cognitive load, thereby affirming the effectiveness of the optimization strategies explored. The methods delineated herein offer valuable insights for the development of BIM system platforms, underscoring the significance of user experience (UX) considerations in the design process.