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Voting User Interfaces Learning from Disabilities

Research by Jonathan A. Goler on the impact of full-faced systems versus DRE for reading disabled voters, including machine analysis, results, and new UI designs. The study involved 96 participants and evaluated completion times, concluding on the benefits of different interfaces.

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Voting User Interfaces Learning from Disabilities

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  1. Voting User InterfacesLearning from Disabilities Jonathan A. Goler Research Affiliate MIT Media Lab

  2. Outline • Motivation - are Full-faced systems worse than DRE for Reading Disabled Voters • The Machines • NY Study • Results • New UI Design

  3. Motivation • Law in NY requires “full face” machines • Because of the large display, lots of things going on => is it harder for reading disabled voters?

  4. The Players

  5. The Players

  6. The Players

  7. Study Design • N=96 • Located at West Side YMCA Polling location • 4 Poll workers • Reading evaluation in between voting

  8. Reading Battery • Nelson-Denny -reading • WRAT - reading • WAIS -IQ estimation • Subjects were “tested” RD iff WAIS-ND or WAIS-WRAT > 1

  9. Populations

  10. Results

  11. Results Time to Complete Ballot 09:36 08:24 07:12 06:00 R D R D e 04:48 Co Co n n tr tr o o l l MC 03:36 02:24 01:12 00:00 M a c h in e: LS , V 200 0 , iVotronic

  12. Results

  13. Study Conclusions • DRE improves completion rate by forcing voters through the process • Normal voters do better on DRE • RD voters do better on full faced • Why? Orientation - FF is a grid

  14. A New UI • Full Faced… • But add the benefits of “guiding”

  15. Prototype

  16. Future Work • Implement and Test new UI • Provide data and suggestions in partnership with voting equipment developers

  17. Acknowledgements • Ted Selker • Lorin Wilde • Larry Thomas & Lalita Krishnamurthy • Megan Webb, Sarah Dionne, David Friend • ES&S and Brett Honig • Funding: Bennan Center for Justice • Carnegie Corporation

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