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 |
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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 |
Zugehörige Links: | |
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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