Uncertainty-Aware Appraising of User Interfaces in Human Computer Interactions: Blending Tree Soft Sets and Neutrosophic Computational Methodological

Human Computer Interactions (HCI) is a multifaceted discipline that focuses on designing, appraising, and implementing interactive computer systems to improve accessibility, usability, and user experience. Herein, we focus on appraising user interfaces (UIs) in HCI. This process is characterized by ambiguities, feedback from users, and other conflicting criteria. Moreover, it must all be addressed in this intricate and diverse process. By blending a set of computational techniques such as MultiCriteria Decision-Making (MCDM) approaches with soft computing techniques (SCTs), this study suggests a unique model for appraising UIs prototypes. By adding indeterminacy to fuzzy logic, neutrosophic offers a strong way to deal with the ambiguities and uncertainties that come from user appraisals. Conversely, soft sets used to illustrate and examine how evaluation criteria and UI choices relate to one another. The suggested architecture allows for a thorough and methodical assessment of UI prototypes by fusing such techniques with MCDM methods like entropy - multi-objective optimization on the basis of simple ratio analysis (MOOSRA). These techniques are deployed for the first time in this problem. Ultimately, the proposed model excels in balancing different appraisal features in comparison to traditional fuzzy MCDM methods. This study provides a scalable and adaptable model for UI appraisal, which improves stakeholder inclusivity. Also, it enables designers to create UIs that are not only functional and efficient but also engaging, accessible, and aligned with user needs. In this context, our constructed model proves its efficacy through deploying it on case study for platforms of healthcare organization that need to adopt optimal UI that meet user needs amongst alternatives of UIs prototypes.