Designing User Interfaces for Low-Literacy Populations in Ghana: A Methodological Approach

Low-literate populations in Ghana face significant barriers to accessing digital services, necessitating tailored user interface designs that enhance usability and accessibility. A mixed-methods approach combining surveys, focus groups, and iterative design sessions was employed. Statistical models were used to analyse survey data, providing insights into user preferences and usability metrics with 95% confidence intervals. The analysis revealed that a simplified interface with high-contrast colors and larger text sizes significantly improved user comprehension and engagement compared to standard designs (direction: 20% higher user satisfaction). This methodological framework offers a robust approach for designing accessible digital interfaces, particularly in low-literacy settings. The findings suggest that incorporating cognitive accessibility features into design processes can lead to more inclusive and effective digital solutions. User Interface Design, Low-Literacy Populations, Cognitive Psychology, Digital Accessibility Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.