Mental Models of Verifiability in Voting

Olembo, Maina M.; Bartsch, Steffen; Volkamer, Melanie

doi:10.1007/978-3-642-39185-9_9

Cited by 17 publications

(9 citation statements)

References 23 publications

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“…Enduser mental models have also been studied in several contexts, such as in the context of online behavioral advertisements [30,26], anonymous credentials [33], photo sharing [9], firewalls [24], security warnings [6], end-to-end verifiable electronic voting [23], and mobile security [15]. Acquisti et al have investigated in the inconsistencies between privacy decisions making and the actual behaviors of consumers focusing on privacy issues raised in e-commerce [3].…”

Section: Related Workmentioning

confidence: 99%

What Deters Jane from Preventing Identification and Tracking on the Web?

Shirazi

Volkamer

2014

Proceedings of the 13th Workshop on Privacy in the Electronic Society

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Recent revelations about surveillance by several institutions and de-identification can be expected to have increased public awareness of identification-and tracking-related privacy threats. It is reasonable to expect that the general public has started using corresponding privacy protection mechanisms. Our goal with this research was to determine whether they actually do this. If not, we wanted to explore possible explanations for not uptaken such privacy-protecting countermeasures. We interviewed 20 (mainly lay) people and found that our interviewees did not proactively try to prevent being identified and tracked. We identified seven different types of explanations. Including a number of misconceptions which might explain this puzzling level of apathy. The participants demonstrated confusion between different kinds of sensitive data; and displayed a confusion between the semantics of 'privacy' and 'security'. The findings also indicate that security being compromised, resulting in losing money for example, is more concrete and more easily brought to mind than privacy-related problems.

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Section: Related Workmentioning

confidence: 99%

What Deters Jane from Preventing Identification and Tracking on the Web?

Shirazi

Volkamer

2014

Proceedings of the 13th Workshop on Privacy in the Electronic Society

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“…This was confirmed by Kelley et al [64] for Android users. The same observation was made in [81] within the context of electronic voting: people assume that observers will make sure that votes are properly tallied.…”

Section: General Findingsmentioning

confidence: 71%

Mental Models – General Introduction and Review of Their Application to Human-Centred Security

Volkamer

Renaud

2013

Lecture Notes in Computer Science

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The human-centred security research area came into being about fifteen years ago, as more and more people started owning their own computers, and it became clear that there was a need for more focus on the non-specialist computer user. The primary attitude fifteen years ago, in terms of how these new users were concerned, was one of exasperation and paternalism. The term "stupid user" was often heard, often muttered sotto voce by an IT specialist dealing with the aftermath of a security incident. A great deal of research has been published in this area, and after pursuing some unfruitful avenues a number of eminent researchers have started to focus on the end-user's perceptions and understandings. This has come from a realisation that end users are not the opponents, but rather allies in the battle against those carrying out nefarious activities. The most promising research direction currently appears to be to focus on mental models, a concept borrowed from the respected and long-standing field of Psychology and, in particular, cognitive science. The hope is that if we understand the end-user and his/her comprehension of security better, we will be able to design security solutions and interactions more effectively. In this paper we review the research undertaken in this area so far, highlight the limitations thereof, and suggest directions for future research.

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“…Voters, however, seem to have a different perspective. According to [21], most voters have a trust model rather than a verification model in mind when it comes to elections. Moreover, verifiability may make very little sense to voters in economic terms: it carries a cost but delivers very little personal benefit.…”

Section: Resultsmentioning

confidence: 99%

“…In [24], participants stated that they would be unlikely to verify their votes in an election. These results are not too surprising given the fact that, according to [21], most voters have a trust model rather than a verification model in mind when it comes to elections. Driven by these findings, Olembo et al [19] studied how voters could be motivated to verify by different messages and instructions in different situations.…”

Section: Related Workmentioning

confidence: 89%

Helios Verification: To Alleviate, or to Nominate: Is That the Question, or Shall we Have Both?

Neumann

Olembo

Renaud

et al. 2014

Electronic Government and the Information Systems Perspective

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Abstract. Helios is an end-to-end verifiable remote electronic voting system which has been used for elections in academic contexts. It allows voters to verify that their vote was cast, and included in the final tally, as intended. User studies have shown that voters are unlikely to perform this verification, probably due to the effortful and cumbersome manual steps that are required by the system. To address this challenge, we propose, in this paper, two improvements: the first is to ameliorate the cumbersome nature of the verification process as much as possible. We offer two suggestions for doing this. To accommodate voters who have no interest in verifying, we propose a further improvement: delegation. This will allow voters to nominate a trusted third party to perform the verification on their behalf as and when they cast their vote. Hence no extra effort is required, and we can exploit existing trust in public institutions to provide voters with the assurance that the voting process is indeed honest and above board. In addition to providing end-to-end verifiability in a less effortful manner, we provide stored as cast and tallied as stored verifiability as well, for voters who do not wish to verify their own votes.

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Mental Models of Verifiability in Voting

Cited by 17 publications

References 23 publications

What Deters Jane from Preventing Identification and Tracking on the Web?

What Deters Jane from Preventing Identification and Tracking on the Web?

Mental Models – General Introduction and Review of Their Application to Human-Centred Security

Helios Verification: To Alleviate, or to Nominate: Is That the Question, or Shall we Have Both?

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