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Voting User Interfaces Learning from Disabilities

Voting User Interfaces Learning from Disabilities. Jonathan A. Goler Research Affiliate MIT Media Lab. Outline. Motivation - are Full-faced systems worse than DRE for Reading Disabled Voters The Machines NY Study Results New UI Design. Motivation. Law in NY requires “full face” machines

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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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