The Ideal Voting Interface: Classifying Usability

  • Damien Mac Namara Dundalk Institute of Technology
  • Paul Gibson
  • Ken Oakley
Keywords: eVoting, usability, classification, interface, electronic voting machine


This work presents a feature-oriented taxonomy for commercial electronic voting machines, which focuses on usability aspects. Based on this analysis, we propose a ‘Just-Like-Paper’  (JLP) classification method which identifies five broad categories of eVoting interface. We extend the classification to investigate its application as an indicator of voting efficiency and identify a universal ten-step process encompassing all possible voting steps spanning the twenty-six machines studied. Our analysis concludes that multi-functional and progressive interfaces are likely to be more efficient versus multi-modal voter-activated machines.


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How to Cite
Mac Namara, D., Gibson, P., & Oakley, K. (2014). The Ideal Voting Interface: Classifying Usability. JeDEM - EJournal of EDemocracy and Open Government, 6(2), 182-196.
Research Papers