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

Abstract

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.

DOI: 10.5281/zenodo.15127397