Data protectors, benefit maximizers, or facts enthusiasts: Identifying user profiles for life-logging technologies

Burbach, Laura; Lidynia, Chantal; Brauner, Philipp; Ziefle, Martina

doi:10.1016/j.chb.2019.05.004

Cited by 18 publications

(11 citation statements)

References 33 publications

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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%

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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Section: Employee Groups and Clustersmentioning

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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“…Utility perceptions of fitness trackers vary among users [12,88]. The type of device they own, their technical expertise, values, and attitudes can influence their perceptions of the utility of the devices.…”

Section: Utility Perceptions Privacy Calculus and Data Minimizationmentioning

confidence: 99%

“…Earlier research [12] found that users can be categorized into three general types: benefit maximizers (i.e., those who have utility preferences), fact enthusiasts (i.e., those who are interested in the motivational aspects of the fitness trackers), and data protectors (i.e., those who prioritize privacy). While using their trackers, users not only consider the utility aspects but also usually perform risk-benefit analyses (i.e., the so-called privacy calculus) [38,60].…”

Section: Utility Perceptions Privacy Calculus and Data Minimizationmentioning

confidence: 99%

“…Therefore, some users are not able to properly make informed decisions [63]. Research shows that fitness-tracker users usually give more weight to the utility rather than the privacy aspects [12,106]. Users could be willing to sacrifice their privacy for utility, especially if they are ensured that the tracker provides considerable benefits [109].…”

Section: Utility Perceptions Privacy Calculus and Data Minimizationmentioning

confidence: 99%

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Are Those Steps Worth Your Privacy?

Velykoivanenko

Niksirat

Zufferey

et al. 2021

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Fitness trackers are increasingly popular. The data they collect provides substantial benefits to their users, but it also creates privacy risks. In this work, we investigate how fitness-tracker users perceive the utility of the features they provide and the associated privacy-inference risks. We conduct a longitudinal study composed of a four-month period of fitness-tracker use (N = 227), followed by an online survey (N = 227) and interviews (N = 19). We assess the users' knowledge of concrete privacy threats that fitness-tracker users are exposed to (as demonstrated by previous work), possible privacy-preserving actions users can take, and perceptions of utility of the features provided by the fitness trackers. We study the potential for data minimization and the users' mental models of how the fitness tracking ecosystem works. Our findings show that the participants are aware that some types of information might be inferred from the data collected by the fitness trackers. For instance, the participants correctly guessed that sexual activity could be inferred from heart-rate data. However, the participants did not realize that also the non-physiological information could be inferred from the data. Our findings demonstrate a high potential for data minimization, either by processing data locally or by decreasing the temporal granularity of the data sent to the service provider. Furthermore, we identify the participants' lack of understanding and common misconceptions about how the Fitbit ecosystem works.

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“…The method shows increase application across several fields, including marketing and advertising (P. E. Green and Srinivasan, 1990 ; Paul E. Green and Krieger, 1991 ; Hille et al, 2019 ; Lappeman et al, 2019 ; Mann et al, 2012 ; Mehta and Bhanja, 2018 ; Meyerding and Merz, 2018 ), product development ( Kulshreshtha et al, 2019 ; Leber et al, 2018 ), telecommunication and information technology ( Burbach et al, 2019 ; Lagos et al, 2019 ; Maeng et al, 2020 ), green product ( Borchardt et al, 2011 ; Sonnenberg et al, 2014 ) and healthcare ( Kreps et al, 2020 ; M. Ryan et al, 2001 ; Mandy Ryan and Farrar, 2000 ; Weernink et al, 2018 ). There is a lack of conducting the conjoint analysis in eco-friendly face masks design.…”

Section: Introductionmentioning

confidence: 99%

Eco-friendly masks preferences during COVID-19 pandemic in Indonesia

Hartanto

Triastianti

2022

Cleaner and Responsible Consumption

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Eco-friendly face mask is necessity to reduce the aggravates the environment due to increased face masks waste during COVID-19 pandemic. The successful eco-friendly masks development influenced by understanding of user’s need and effectiveness of communications. The employed conjoint analysis obtained user mask preferences information to support effective communication strategies by business enterprises and policy makers on encouraging public to consume appropriate masks. The attribute importance followed from eco-friendly (32.1%), mask certification (26.5%), filtration efficiency (19.8%), price (13.9%), layers (5.6%), type of mask (1.5%), material (0.7%). The public expecting the mask with the ability to recycled and biodegradable, with certification, performance above 90% filtration efficiency, and affordable prices in the range of Rp.1.500-Rp.25.000. Also, 3-ply fabrics for the medical type and cotton material are generally preferred to polyester/polypropylene. The government needs to improve the effectiveness masks education, provide convenience process to masks certification by manufacturers, and provision of incentives to reduce masks production cost. Meanwhile, manufacturers ensure produce of the standard eco-friendly masks in affordable pricing. Furthermore, gender did not show significant effect on preferences, but varied with average expenditure.

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Data protectors, benefit maximizers, or facts enthusiasts: Identifying user profiles for life-logging technologies

Cited by 18 publications

References 33 publications

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

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

Are Those Steps Worth Your Privacy?

Eco-friendly masks preferences during COVID-19 pandemic in Indonesia

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