Embedding Emotions in the Metaverse: The Emotive Keywords for Augmented Reality Mobile Library Application

Abstract

The emergence of the metaverse, marked by the seamless integration of augmented reality (AR) applications across various sectors is driving a profound transformation in the digital landscape. As we delve into the digital realm of the metaverse, just like other applications, it unfolds as an equally captivating canvas for emotional exploration, where a comprehensive understanding of human emotion for better user experience (UX) is vital. Although the efforts to investigate emotions within the metaverse are in progress, however there is a notable absence of extensive research that examines the user's emotional experiences which incorporates a tailored set of keywords specifically for designing user interface (UI) products within this context, resulting in a substantial void in this particular domain. Therefore, the objective of this research is to synthesise and validate an extensive array of emotive keywords explicitly tailored for AR-based Mobile Library Application (MLA) design. This endeavor involves an exhaustive review of literature and a rigorous validation process, encompassing input from both linguistic and technical experts in the field. The result is an explicit collection of sixty emotive keywords that will significantly contribute to the metaverse realm by adding a layer of emotional depth to enrich the AR-based MLA experience. These findings offer valuable guidance for practitioners and researchers, advancing the landscape of MLA interface design and ultimately boosting UX in the educational sector.