Report of the Marginal Marks Working Group
description
Transcript of Report of the Marginal Marks Working Group
TGDC Meeting, Jan 2011
Report of the Marginal Marks Working Group
David FlaterNational Institute of Standards and
Technology
http://vote.nist.gov
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TGDC Meeting, Jan 2011 Page 2
Testing Scanning Accuracy - JonesThe TGDC recognizes that voters' ability to mark a paper ballots as they intend
is critical to their success in voting accurately.
The TGDC also recognizes that: The usability of a paper ballot is determined by the form of the ballot, the
instructions, the available marking devices, and the voter's prior expectations from use of other similar paper forms.
HAVA leaves the determination of what marks constitute a vote and how voters are instructed to the states
The TDGC has concluded that systems must include documentation of the marks recommended for use with that system, and how the system will respond to common marking devices and typical marks voters may make.
The TGDC requests that NIST investigate the development of a standard benchmark set of ballot markings representative of the types of marks real voters make on each common type of ballot, which will allow the inclusion of a test requirement to test compliance with the above documentation requirement.
TGDC Meeting, Jan 2011 Page 3
Charter Investigate the development of a standard
reference set of ballot markings representative of the types of marks that voters make on each common type of optical scan / marksense ballot
Goal: Enable VSTLs and acceptance testers to test and document the responses of scanners
Non-goal: Define what is a valid vote
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Data collection September
Hart ballots (square targets) from Clark County, WA Sequoia ballots (arrows) from Snohomish County, WA
December ES&S ballots (oval targets) from Champaign County, IL
Anomalies other than marginal marks Stains, burns, tears, sticky tape, etc. Wrong marker (glitter pen rate = 0.006 %) Bleed-through and transference Ballot production imperfections Dust artifacts
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Next steps Report on data collection Analysis and classification of marks Identification of test set of marks Design and validation of standard reference
marks