Mixed-methods research shows graphical interfaces improve accessibility for low-literacy populations in Kenya, indicating effective digital service design.
Low-literacy populations in Kenya face significant challenges accessing digital services effectively. A mixed-methods approach was employed, combining surveys with qualitative interviews to gather insights from users and experts. Users preferred graphical interfaces over text-based ones, indicating a preference for visual cues (direction: 60%, proportion: 2/3). Accessible user interfaces significantly improve digital service accessibility for low-literacy populations in Kenya. Design guidelines should prioritise the integration of visual elements and simplified language to enhance usability. User Interface, Accessibility, Low-Literacy, Digital Services, Kenya Model estimation used θ̂=argminθ∑ᵢ(yᵢ,f_θ(xᵢ))+λθ₂², with performance evaluated using out-of-sample error.
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Ndege et al. (2013) studied this question.
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