Mental models of verifiability in voting

Authors:
Maina M. Olembo;Steffen Bartsch;Melanie Volkamer
Affiliations:
Center for Advanced Security Research, Technische Universität Darmstadt, Darmstadt, Germany;Center for Advanced Security Research, Technische Universität Darmstadt, Darmstadt, Germany;Center for Advanced Security Research, Technische Universität Darmstadt, Darmstadt, Germany
Venue:
Vote-ID'13 Proceedings of the 4th international conference on E-Voting and Identity
Year:
2013

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Abstract

In order for voters to verify their votes, they have to carry out additional steps besides selecting a candidate and submitting their vote. In previous work, voters have been found to be confused about the concept of and motivation for verifiability in electronic voting when confronted with it. In order to better communicate verifiability to voters, we identify mental models of verifiability in voting using a questionnaire distributed online in Germany. The identified mental models are, Trusting, No Knowledge, Observer, Personal Involvement and Matching models. Within the same survey, we identify terms that can be used in place of 'verify' as well as security-relevant metaphors known to the voters that can be used to communicate verifiability.