[en] This paper presents a mobile application for vote-casting and vote-verification
based on the Selene e-voting protocol and explains how it was developed and implemented using the User Experience Design process. The resulting interface was tested with 38 participants, and user experience data was collected via questionnaires and semi-structured interviews on user experience and perceived security. Results concerning the impact of displaying security mechanisms on UX were presented in a complementary paper.
Here we expand on this analysis by studying the mental models revealed during the interviews and compare them with theoretical security notions. Finally, we propose a list of improvements for designs of future voting protocols.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
ZOLLINGER, Marie-Laure ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
DISTLER, Verena ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS)
ROENNE, Peter ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
RYAN, Peter ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
LALLEMAND, Carine ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS)
KOENIG, Vincent ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
User Experience Design for E-Voting: How mental models align with security mechanisms
Date de publication/diffusion :
octobre 2019
Nom de la manifestation :
Fourth International Joint Conference on Electronic Voting E-Vote-ID 2019
