Meta Model Investigation Empowered Mobile Apps Usability for Technology-Literate and Illiterate Users

Abstract

This study examines how well mobile apps work for both literate and illiterate users. With the ability to access information, services, and entertainment, mobile apps have become an indispensable component of daily life. However, not all users are the same, and depending on elements like literacy levels, the usefulness of mobile apps can vary dramatically. In order to address this problem, we carried out a thorough analysis of the prior work on the usability of mobile apps for both literate and illiterate users. While the study on the usability of mobile apps for literate users, our review of the literature revealed that there is a dearth of data on the usability of mobile apps for illiterate users. Existing research, however, indicates that creating mobile apps with simple and intuitive Existing research, however, points to ways to make mobile apps more accessible to illiterate users, including by using audiovisual aids, clear labelling, easy-to-find buttons, and simple, intuitive interfaces. We suggest a set of usability principles for developing mobile apps that are usable by both literate and illiterate users based on the findings of the literature research. This study attentions on important usability ideas such as user autonomy, cross-platform reliability, error anticipation, brief cognitive burden, adaptableness, and clear response. The study advances and confirms a usability model using both performing-based metrics and questionnaire responses, which are further examined using ANOVA. Additionally, it explores the relationship between usability heuristics and user collaboration results. With standardized questionnaires and presentation tests, information from clients with and without formal education was gathered. Findings indicate the importance of determining mobile application usability among diverse populations of users. Developers may create mobile applications that are helpful and usable for users with diverse levels of literacy by implementing user comments and results of prior study findings.