| Summary: | While metaverse technology continues to advance, catching user attention ultimately relies on the appealing qualities of its user interface (UI), making it essential to include emotional perception. A well-designed UI aligned with user preferences fosters user engagement and contributes to product success. However, creating a UI that prioritizes emotions remains an ongoing challenge. For that reason, this study attempts to explore the relationship between UI design factors and the user perception of the demand experience. This research utilizes Kansei Engineering (KE) method to investigate user preferences on the metaverse library UI and examine the correlation between emotional responses. A three-step methodology consisting of instrument, evaluation, and analysis was applied in this study. The evaluation utilized a total of 28 specimens and 60 Kansei Words (KWs). The data were analyzed using multivariate statistical analysis; Cronbach's Alpha, Principal Component Analysis (PCA) and Factor Analysis (FA) to identify the significant UI design for the metaverse library. The results of this research take the form of recommendations for UI design concepts based on the most dominant emotional factors. The data analysis results revealed that “radiance”, “orderliness”, and “conciseness” were the most significant emotional factors for the metaverse library application. Through the application of KE analysis, the emotionally demanding UI concepts within the metaverse library can be determined. This analysis provides valuable guidance for designing or redesigning the library interface, which in turn, contributes to an enhanced metaverse experience. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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