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Mental Models of Verifiability in Voting

Olembo, Maina ; Bartsch, Steffen ; Volkamer, Melanie
Hrsg.: Schneider, Steve ; Heather, James ; Teague, Vanessa (2013)
Mental Models of Verifiability in Voting.
University of Surrey, Guildford, UK
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Herausgeber: Schneider, Steve ; Heather, James ; Teague, Vanessa
Autor(en): Olembo, Maina ; Bartsch, Steffen ; Volkamer, Melanie
Art des Eintrags: Bibliographie
Titel: Mental Models of Verifiability in Voting
Sprache: Englisch
Publikationsjahr: Juli 2013
Verlag: Springer
Buchtitel: 4th International Conference on e-Voting and Identity (VoteID13)
Reihe: Lecture Notes in Computer Science
Band einer Reihe: 7985
Veranstaltungsort: University of Surrey, Guildford, UK
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Kurzbeschreibung (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.

Freie Schlagworte: Security, Usability and Society;Secure Data
ID-Nummer: TUD-CS-2013-0121
Fachbereich(e)/-gebiet(e): LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
20 Fachbereich Informatik > SECUSO - Security, Usability and Society
20 Fachbereich Informatik > Theoretische Informatik - Kryptographie und Computeralgebra
Profilbereiche > Cybersicherheit (CYSEC)
LOEWE > LOEWE-Zentren
20 Fachbereich Informatik
Profilbereiche
LOEWE
Hinterlegungsdatum: 28 Jul 2016 18:35
Letzte Änderung: 30 Mai 2018 12:53
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