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The UX of Voting 
ELIZABETH ROSENZWEIG 
USER EXPERIENCE CENTER 
BENTLEY UNIVERSITY 
erosenzweig@bentley.edu 
781.891. 2032 | www.bentley.edu/uxc
UX of Voting 
 Introduction 
 How Does UX effect Voting 
 When did this become important? 
 HAVA 
 Design for Democracy 
 MIT-CalTech Voting Project-Voting Test 
Methodology 
 NIST 
 Center of Civic Design
How Does UX Effect Voting 
Single Most Important UX Issue of Our Time 
 Ballot Design 
 Voting Technology 
 Polling Places 
 Instructions for Voting 
Result is seen in the leaders 
we elect to run our country.
Voting Technology 
 User Interface design for voting machines is 
a new idea 
 Voter Intent has been studied since 1940 
but until 2000,but from a political science 
and psychology perspective 
 Accessibility issues have only 
been reviewed and included in the 
few decades
Traditional Voting Machine
Punch card
Human Factors in Vote Counts
Optical Scan
When Did UX Get Noticed? 
Case Study: 2000 USA Presidential Election 
 Close vote count 
 Every single votes makes a difference 
 Design cited as an issue 
 Accessibility became a clearer issue
The Butterfly Did It: The Aberrant Vote for 
Buchanan in Palm Beach County, Florida 
July 2, 2001 
 Jonathan N. Wand 
 Kenneth W. Shotts 
 Jasjeet S. Sekhon 
 Walter R. Mebane, Jr. 
 Michael C. Herron 
 Henry E. Brady
The Butterfly Did It 
“We show that the 
butterfly ballot used in 
Palm Beach County 
(PBC), Florida, in the 
2000 presidential 
election caused more 
than 2,200 Democratic 
voters to vote by mistake 
for Reform candidate Pat 
Buchanan—a number 
larger than George W. 
Bush’s certified margin 
of victory in Florida. “
2000 Presidential Election 
 Design errors caused confusion 
 Hanging Chads
Hanging Chads
Ballot Design 
 http://www.nytimes.com/2001/11/12/politics/12VOTE.html 
Study of Disputed Florida Ballots Finds Justices Did not Cast the 
Deciding Vote by Ford Fessenden and John M. Broder, published 
New York Times, November 12, 2001. 
 Review by independent consortium, looking at the broader group of 
rejected ballots, found that Mr. Gore might have won if the courts 
had ordered a statewide recount of all the rejected ballots 
 “In addition, the review found statistical support for the complaints 
of many voters, particularly elderly Democrats in Palm Beach 
County, who said in interviews at the the election that confusing 
ballot designs may have led them to split their ballots by voting for 
more then one candidate.”
Help America Vote Act
Help America Vote Act 
 Human Factors
Design for Democracy 
 http://www.aiga.org/design-for-democracy/
Ballot Design 
Information needs to be clear and presented in an intuitive way. Confused voters are 
prone to making mistakes and ruining their vote so it won’t be counted.
MIT-CalTech Voting Technology Project 
 2001 Began researching issues with Voting 
Technology 
 Built on question of human factors impacting voters 
intent 
 Understanding voters intent included looking at 
cognitive load, visual design, interface with 
technology, election officials human factors
Electronic Voting
Verified Voting
Verifying Votes
VVPAT
Voting Methodology
Voting Methodology 
 Testing Voter Verified Paper Trail in a Simulated 
Real World Environment –off election season 
 Real Poll Workers 
 Arlington Town Hall- real polling place
Voters with Disabilities 
 Visual impairment 
 Audio impairment 
 Learning disabilities
Accessible Voting
No Consistency at Polling Places
Voting Methodology 
 Findings 
 History of voting technology has only recently included human 
factors considerations, these need to take into consideration all 
forms of human factors issues 
 Although voting systems are regulated, there is not enough 
consistency to assure standards are met throughout system 
 Key Takeaway 
 Ballot Design makes a difference 
 Poll Workers and Polling Places need 
consistency 
 Accessible Voting must be improved 
and made available
NIST Voting HF Guidelines 
 Testing methodology for testing voting machines 
 Validate methodology 
 Test for accessibility
NIST Voting HF Guidelines 
 Human Factors Test Suites for Voting Systems 
 http://www.nist.gov/itl/vote/systemtesting.cfm
Center for Civic Design 
 http://centerforcivicdesign.org/
Testing Voters’ Guides 
 Voters’ Guides provide the voter information about ballot 
questions 
 Should be written in plain English 
 Testing whether they are understandable and effective
Voter Guides Study 
 Upcoming testing on paper guides in Portland, 
Oregon 
 Upcoming testing on paper guides in Denver, 
Colorado
What’s Next 
 You can be involved 
 Become a Poll Worker, write about what you see 
 Connect with Voting Projects mentioned 
in the presentation
UX of Voting 
 How does UX effect Voting 
 History of design problems in voting systems 
 Range of projects have been started since 2000 
 Progress is being made, but slowly.

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The UX of Voting

  • 1. The UX of Voting ELIZABETH ROSENZWEIG USER EXPERIENCE CENTER BENTLEY UNIVERSITY erosenzweig@bentley.edu 781.891. 2032 | www.bentley.edu/uxc
  • 2. UX of Voting  Introduction  How Does UX effect Voting  When did this become important?  HAVA  Design for Democracy  MIT-CalTech Voting Project-Voting Test Methodology  NIST  Center of Civic Design
  • 3. How Does UX Effect Voting Single Most Important UX Issue of Our Time  Ballot Design  Voting Technology  Polling Places  Instructions for Voting Result is seen in the leaders we elect to run our country.
  • 4. Voting Technology  User Interface design for voting machines is a new idea  Voter Intent has been studied since 1940 but until 2000,but from a political science and psychology perspective  Accessibility issues have only been reviewed and included in the few decades
  • 7. Human Factors in Vote Counts
  • 9. When Did UX Get Noticed? Case Study: 2000 USA Presidential Election  Close vote count  Every single votes makes a difference  Design cited as an issue  Accessibility became a clearer issue
  • 10. The Butterfly Did It: The Aberrant Vote for Buchanan in Palm Beach County, Florida July 2, 2001  Jonathan N. Wand  Kenneth W. Shotts  Jasjeet S. Sekhon  Walter R. Mebane, Jr.  Michael C. Herron  Henry E. Brady
  • 11. The Butterfly Did It “We show that the butterfly ballot used in Palm Beach County (PBC), Florida, in the 2000 presidential election caused more than 2,200 Democratic voters to vote by mistake for Reform candidate Pat Buchanan—a number larger than George W. Bush’s certified margin of victory in Florida. “
  • 12. 2000 Presidential Election  Design errors caused confusion  Hanging Chads
  • 14. Ballot Design  http://www.nytimes.com/2001/11/12/politics/12VOTE.html Study of Disputed Florida Ballots Finds Justices Did not Cast the Deciding Vote by Ford Fessenden and John M. Broder, published New York Times, November 12, 2001.  Review by independent consortium, looking at the broader group of rejected ballots, found that Mr. Gore might have won if the courts had ordered a statewide recount of all the rejected ballots  “In addition, the review found statistical support for the complaints of many voters, particularly elderly Democrats in Palm Beach County, who said in interviews at the the election that confusing ballot designs may have led them to split their ballots by voting for more then one candidate.”
  • 16. Help America Vote Act  Human Factors
  • 17. Design for Democracy  http://www.aiga.org/design-for-democracy/
  • 18. Ballot Design Information needs to be clear and presented in an intuitive way. Confused voters are prone to making mistakes and ruining their vote so it won’t be counted.
  • 19. MIT-CalTech Voting Technology Project  2001 Began researching issues with Voting Technology  Built on question of human factors impacting voters intent  Understanding voters intent included looking at cognitive load, visual design, interface with technology, election officials human factors
  • 21.
  • 24. VVPAT
  • 26. Voting Methodology  Testing Voter Verified Paper Trail in a Simulated Real World Environment –off election season  Real Poll Workers  Arlington Town Hall- real polling place
  • 27. Voters with Disabilities  Visual impairment  Audio impairment  Learning disabilities
  • 29. No Consistency at Polling Places
  • 30. Voting Methodology  Findings  History of voting technology has only recently included human factors considerations, these need to take into consideration all forms of human factors issues  Although voting systems are regulated, there is not enough consistency to assure standards are met throughout system  Key Takeaway  Ballot Design makes a difference  Poll Workers and Polling Places need consistency  Accessible Voting must be improved and made available
  • 31. NIST Voting HF Guidelines  Testing methodology for testing voting machines  Validate methodology  Test for accessibility
  • 32. NIST Voting HF Guidelines  Human Factors Test Suites for Voting Systems  http://www.nist.gov/itl/vote/systemtesting.cfm
  • 33. Center for Civic Design  http://centerforcivicdesign.org/
  • 34. Testing Voters’ Guides  Voters’ Guides provide the voter information about ballot questions  Should be written in plain English  Testing whether they are understandable and effective
  • 35. Voter Guides Study  Upcoming testing on paper guides in Portland, Oregon  Upcoming testing on paper guides in Denver, Colorado
  • 36. What’s Next  You can be involved  Become a Poll Worker, write about what you see  Connect with Voting Projects mentioned in the presentation
  • 37. UX of Voting  How does UX effect Voting  History of design problems in voting systems  Range of projects have been started since 2000  Progress is being made, but slowly.