Augmenting Voting Interfaces to Improve Accessibility and Performance
Reading disabled (RD) voters represent approximately 1 in 7 voters. Current electronic voting technologies exhibit substantially different error rates between RD voters and non-RD voters. These error rates are not consistent. For example, full-faced voting systems are better suited for RD individuals, while page-by-page systems are better for non-RD voters. We seek to analyze the differences in the voter’s performance in order to build interfaces that reduce mistakes and errors for both RD and non-RD voters.