Of Guardians, Cynics, and Pragmatists - A Typology of Privacy Concerns and Behavior

Schomakers, Eva-Maria; Lidynia, Chantal; Vervier, Luisa; Ziefle, Martina

doi:10.5220/0006774301530163

Cited by 10 publications

(14 citation statements)

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“…We compared the descriptive characteristics of our clusters with those of personas known from online privacy research and identified minor similarities with Morton's information controller and organizational assurance seeker [43], and with Schomaker's and Westin's privacy pragmatist [34,57]. Different though, our clusters emphasize the various interpretations of the right to privacy at work instead of privacy concerns.…”

Section: Discussionmentioning

confidence: 99%

Exploring mental models of the right to informational self-determination of office workers in Germany

Tolsdorf

Dehling

Reinhardt

et al. 2021

Proceedings on Privacy Enhancing Technologies

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Applied privacy research has so far focused mainly on consumer relations in private life. Privacy in the context of employment relationships is less well studied, although it is subject to the same legal privacy framework in Europe. The European General Data Protection Regulation (GDPR) has strengthened employees’ right to privacy by obliging that employers provide transparency and intervention mechanisms. For such mechanisms to be effective, employees must have a sound understanding of their functions and value. We explored possible boundaries by conducting a semi-structured interview study with 27 office workers in Germany and elicited mental models of the right to informational self-determination, which is the European proxy for the right to privacy. We provide insights into (1) perceptions of different categories of data, (2) familiarity with the legal framework regarding expectations for privacy controls, and (3) awareness of data processing, data flow, safeguards, and threat models. We found that legal terms often used in privacy policies used to describe categories of data are misleading. We further identified three groups of mental models that differ in their privacy control requirements and willingness to accept restrictions on their privacy rights. We also found ignorance about actual data flow, processing, and safeguard implementation. Participants’ mindsets were shaped by their faith in organizational and technical measures to protect privacy. Employers and developers may benefit from our contributions by understanding the types of privacy controls desired by office workers and the challenges to be considered when conceptualizing and designing usable privacy protections in the workplace.

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Section: Discussionmentioning

confidence: 99%

Exploring mental models of the right to informational self-determination of office workers in Germany

Tolsdorf

Dehling

Reinhardt

et al. 2021

Proceedings on Privacy Enhancing Technologies

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“…Privacy research has put enormous effort in classifying people into groups. Most attempts classify people based on their privacy concerns [4,9,15,17,42,43,73,80,83,94]. Fewer attempts are based on perceived sensitivity, willingness to disclose, and behavior [38,41,45,68,98].…”

Section: Employee Groups and Clustersmentioning

confidence: 99%

“…Here, classes are assumed to be unobserved categorical (latent) variables. We determined the optimal number of classes by first estimating a one-class model and then iteratively adding classes up to a maximum of five, as we expected group sizes similar to those in previous studies in other contexts [4,38,42,80]. We evaluated model fit using various fit indices, with a focus on BIC due to its superiority in LCA class selection [64].…”

Section: Employee Groupsmentioning

confidence: 99%

Employees’ privacy perceptions: exploring the dimensionality and antecedents of personal data sensitivity and willingness to disclose

Tolsdorf

Reinhardt

Iacono

2022

Proceedings on Privacy Enhancing Technologies

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The processing of employees’ personal data is dramatically increasing, yet there is a lack of tools that allow employees to manage their privacy. In order to develop these tools, one needs to understand what sensitive personal data are and what factors influence employees’ willingness to disclose. Current privacy research, however, lacks such insights, as it has focused on other contexts in recent decades. To fill this research gap, we conducted a cross-sectional survey with 553 employees from Germany. Our survey provides multiple insights into the relationships between perceived data sensitivity and willingness to disclose in the employment context. Among other things, we show that the perceived sensitivity of certain types of data differs substantially from existing studies in other contexts. Moreover, currently used legal and contextual distinctions between different types of data do not accurately reflect the subtleties of employees’ perceptions. Instead, using 62 different data elements, we identified four groups of personal data that better reflect the multi-dimensionality of perceptions. However, previously found common disclosure antecedents in the context of online privacy do not seem to affect them. We further identified three groups of employees that differ in their perceived data sensitivity and willingness to disclose, but neither in their privacy beliefs nor in their demographics. Our findings thus provide employers, policy makers, and researchers with a better understanding of employees’ privacy perceptions and serve as a basis for future targeted research on specific types of personal data and employees.

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“…Concerns are also higher the more personal the information is and the higher the probability of being identifiable (Valdez and Ziefle 2019;Ziefle et al 2016). However, there is also empirical evidence that people seem to be differently vulnerable for those concerns (Schmidt et al 2015a;Schomakers et al 2018;Schomakers et al 2019b). All in all, however, there is a widely prevailing public distrust which seems to have two different sides: one is an unspecific distrust in authorities with regard to a careful, protective, and diligent handling of data; the other is an archival concern towards invasions of privacy.…”

Section: Perceptions Of Data Distribution Data Handling and Privacymentioning

confidence: 99%

Rolling in the deep

Biermann

Philipsen

Brell

et al. 2019

Hum.-Intell. Syst. Integr.

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Autonomous driving will provide higher traffic safety, meet climate-related issues due to energy-saving mobility, and offer more comfort for drivers. To ensure reliable and safe autonomous traffic, and to provide efficient and time-critical mobility services, data exchange between road users and systems is essential. In public perception, however, sharing data and information may pose a challenge due to perceived privacy restrictions. In this paper, we address user perceptions and their acceptance towards data and information distribution in autonomous driving. In a multi-step empirical procedure, qualitative (focus groups, guided interviews) and quantitative approaches (questionnaire-study) were combined. The findings reveal that autonomous driving is commonly seen as a highly useful and appreciated technology. Though individual risk perceptions and potential drawbacks are manifold, mainly described in terms of data security and privacy-related issues. The findings contribute to research in human-automation interaction, technical development, and public communication strategies.

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Of Guardians, Cynics, and Pragmatists - A Typology of Privacy Concerns and Behavior

Cited by 10 publications

References 0 publications

Exploring mental models of the right to informational self-determination of office workers in Germany

Exploring mental models of the right to informational self-determination of office workers in Germany

Employees’ privacy perceptions: exploring the dimensionality and antecedents of personal data sensitivity and willingness to disclose

Rolling in the deep

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