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ZENODO
Article . 2009
License: CC BY
Data sources: Datacite
ZENODO
Article . 2009
License: CC BY
Data sources: Datacite
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Designing Accessible User Interfaces for Ghana's Low-Literacy Populations Past and Present

Authors: Fredric, Agyei; Kwame, Amos; Seth, Frimpong; Cletus, Abiriede;

Designing Accessible User Interfaces for Ghana's Low-Literacy Populations Past and Present

Abstract

Previous studies on designing user interfaces for low-literacy populations in Ghana have primarily focused on literacy levels and technological access but often lacked empirical evidence. The methodology involves re-analysing existing user data from Ghana's literacy programmes using qualitative coding and statistical analysis. A thematic analysis approach is employed to identify common themes in user interface design. Analysis revealed a significant proportion (35%) of participants preferred graphical interfaces over text-based ones, indicating the need for more visual elements in future designs. The findings confirm that existing UI design principles are effective but require adjustments based on specific user preferences and needs. Future research should focus on developing a larger sample size study to further validate these preliminary results and incorporate real-time user feedback loops. 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.

Keywords

Human-Computer Interaction, Multimodal Interfaces, Participatory Design, Cognitive Psychology, User Experience Design, Accessibility, Ghana

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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