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Usability of voting systems: baseline data for paper, punch cards, and lever machines
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Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
San Jose, California, USA
SESSION: Politics & activism table of contents
Pages: 171 - 180  
Year of Publication: 2007
ISBN:978-1-59593-593-9
Authors
Michael D. Byrne  Rice University, Houston, TX
Kristen K. Greene  Rice University, Houston, TX
Sarah P. Everett  Rice University, Houston, TX
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

In the United States, computer-based voting machines are rapidly replacing other older technologies. While there is potential for this to be a usability improvement, particularly in terms of accessibility, the only way it is possible to know if usability has improved is to have baseline data on the usability of traditional technologies. We report an experiment assessing the usability of punch cards, lever machines, and two forms of paper ballot. There were no differences in ballot completion time between the four methods, but there were substantial effects on error rate, with the paper ballots superior to the other methods as well as an interaction with age of voters. Subjective usability was assessed with the System Usability Scale and showed a slight advantage for bubble-style paper ballots. Overall, paper ballots were found to be particularly usable, which raises important technological and policy issues.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Michael D. Byrne: colleagues
Kristen K. Greene: colleagues
Sarah P. Everett: colleagues