Mental Models for Usable Privacy: A Position Paper

Coopamootoo, Kovila; Groβ, Thomas

doi:10.1007/978-3-319-07620-1_36

Cited by 6 publications

(5 citation statements)

References 33 publications

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“…Since we are reporting qualitative research results, like Wash [32], we will not report how many users alluded to each sub-theme. We do attempt to give a flavour by using terms like 'very few' (1-2 participants), 'some' (3)(4)(5)(6)(7)(8)(9)(10), 'many' (11)(12)(13)(14)(15)(16)(17)(18), and 'most' (19 or 20). We substantiate the various themes and sub-themes with (translated) quotes where applicable.…”

Section: Evaluation Methodologymentioning

confidence: 99%

“…Therefore, it is important to help people to construct correct mental models of privacy in order to facilitate privacy decisions as also stated by Coopamootoo et al [7].…”

Section: Related Workmentioning

confidence: 97%

“…Usability and technical issues in the context of security tools has been studied in a number of different applications: e.g. in the context of end to end email encryption usability issues have been identified in [34] and [7] and interoperability issues in [20]; in the context of firewall configuration usability [35] and in end-to-end verifiable electronic voting systems [25]. All identified a number of usability issues.…”

Section: Related Workmentioning

confidence: 99%

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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: Evaluation Methodologymentioning

confidence: 99%

“…Therefore, it is important to help people to construct correct mental models of privacy in order to facilitate privacy decisions as also stated by Coopamootoo et al [7].…”

Section: Related Workmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

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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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“…Although privacy is implicit within human behaviour oine, in the online environment, it is mediated by technology and its human-computer interaction and thereby introduces a number of behavioural challenges not necessarily obvious and seamless to the human and to designers [9,12].…”

Section: Why Privacy Empowerment?mentioning

confidence: 99%

“…We also postulate supporting users throughout their lifetime, that is, to not only investigate intrapersonal aspects of attitudes [14], concerns [21], aect [24], cogniton [12,11,13,10] and condence in competency [8], but also (1) to investigate how the HCI enables the evaluation of risks in interaction, the gathering of skills and resources, and the awareness of the impact other agents online, as well as (2) to promote users' active contributions privacy protection online.…”

Section: Towards Empowering the Usermentioning

confidence: 99%

Towards Empowering the Human for Privacy Online

Coopamootoo

2019

Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data

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While it is often claimed that users are more and more empowered via online technologies [4,16,17,31], the counterpart of privacy dis-empowerment is more than a suspicion [27]. From a humancomputer interaction perspective, the following have previously been observed (1) users still fail to use privacy technologies on a large scale;(2) a number of human-computer interaction mismatches exist that impact the use of privacy technologies [32,22,5,15,6,1]; and (3) the user aect dimension of privacy is fear focused [14]. This paper reports on a experts' perspectives on empowering users towards privacy. We facilitated a workshop with N = 12 inter-disciplinary privacy experts to gather opinions and discuss empowering case-studies We reviewed literature focusing on the empowering versus dis-empowering impact of online technologies, and looked into psychological empowerment and usable privacy research. The workshop participants pointed to a state of privacy dis-empowerment online, with human-computer interaction and business models as major themes. While it was clear that there is no clear-cut solution, supporting clearer communication channels was key to experts' mental models of empowered privacy online. They recommended enabling user understanding, not only for privacy threats but also in using privacy technologies and building user skills. To facilitate user interaction with complex secure communication tools, they suggested a transparency enhancing tool as a bridge between the user and encryption technology. The outcome of the workshop and our review support the need for an approach that enables the human user, as well as their interactions and their active participation. For that we postulate the application of psychological empowerment [33]. To our knowledge, this paper provides the rst known discussion among inter-disciplinary privacy experts on the topic of privacy dis-empowerment online, as well as the rst categorisation of HCI mismatches impacting the use of privacy technologies.

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Not Annoying the User for Better Password Choice: Effect of Incidental Anger Emotion on Password Choice

Khan

Coopamootoo

2020

HCI for Cybersecurity, Privacy and Trust

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Mental Models for Usable Privacy: A Position Paper

Cited by 6 publications

References 33 publications

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

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

Towards Empowering the Human for Privacy Online

Not Annoying the User for Better Password Choice: Effect of Incidental Anger Emotion on Password Choice

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