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 =argmin_ᵢ (yᵢ, f_ (xᵢ) ) +₂², with performance evaluated using out-of-sample error.
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Esi Ameyaw
Yaw Agyeiña
University of Ghana
Artificial Intelligence in Medicine (Canada)
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Ameyaw et al. (Sat,) studied this question.
www.synapsesocial.com/papers/69a287460a974eb0d3c02d73 — DOI: https://doi.org/10.5281/zenodo.18778745
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