Data Privacy: Users’ Thoughts on Quantified Self Personal Data

Spiller, Keith; Ball, Kirstie; Bandara, Arosha K.; Meadows, Michelle; McCormick, Ciaran; Nuseibeh, Bashar; Price, Bob

doi:10.1007/978-3-319-65379-2_8

Cited by 21 publications

(12 citation statements)

References 17 publications

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“…Only 0.06% and 0.14% of reviews on pet and human wearables respectively mentioned privacy concernsmost of them as a sideline. An intuitive conclusion to draw would be that consumers do not care about privacy, certainly in line with other research [3,37,63], and perhaps most easily observed by how widespread the "I've got Nothing to Hide" sentiment is [59], even though it "represents a singular and narrow way of conceiving privacy" [61].…”

Section: Privacy Concern Is Trumped By Another Factorsupporting

confidence: 62%

“…Spiller et al [63] investigated whether, and how users of Quantified Self (QS) technology value privacy, finding that beyond its immediate use to themselves (e.g., informing their own activity) users perceive it to hold little value and subsequently hold little privacy concern about how manufacturers or even law enforcement would use such data. In stark contrast, an overview of the state of security and risks in quantified Table 1.…”

Section: Related Work 21 Pet Wearables and Privacy Concernsmentioning

confidence: 99%

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Pets without PETs: on pet owners’ under-estimation of privacy concerns in pet wearables

Linden

Edwards

Hadar

et al. 2020

Proceedings on Privacy Enhancing Technologies

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We report on a mixed-method, comparative study investigating whether there is a difference between privacy concerns expressed about pet wearables as opposed to human wearables – and more importantly, why. We extracted the privacy concerns found in product reviews (N=8,038) of pet wearables (activity, location, and dual-function trackers), contrasting the (lack of) concerns and misuse to a curated set of reviews for similar human-oriented wearables (N=20,431). Our findings indicate that, while overall very few privacy concerns are expressed in product reviews, for pet wearables they are expressed even less, even though consumers use these devices in a manner which impacts both personal and bystander privacy. An additional survey of pet owners (N=201) eliciting what factors would cause them to not purchase (or stop using) pet wearables indicated comparably few privacy concerns, strengthening the representativeness of our findings. A thematic analysis reveals that the lack of privacy concerns may be explained by, among other factors, emotional drivers to purchase the device, and prioritization of (desired) functionality to support those emotional drivers over privacy requirements. Moreover, we found that pet wearables are used in different ways than originally intended, which raise novel privacy implications to be dealt with. We propose that in order to move towards more privacy-conscious use of pet wearables, a combination of understanding consumer rationale and behavior as well as ensuring data protection legislation is adequate to real-world use is needed.

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Section: Privacy Concern Is Trumped By Another Factorsupporting

confidence: 62%

Section: Related Work 21 Pet Wearables and Privacy Concernsmentioning

confidence: 99%

Pets without PETs: on pet owners’ under-estimation of privacy concerns in pet wearables

Linden

Edwards

Hadar

et al. 2020

Proceedings on Privacy Enhancing Technologies

View full text Add to dashboard Cite

show abstract

“…Where regulation and legal scrutiny fail to keep the pace with self-tracking, empirical evidence consulting users directly and specifically about the forms of privacy and sharing they value seems crucial (Spiller et al 2018). Organizations should have some incentive to do this too, given that the quantified self could pose threats to enterprise security if employees are following a bring your own device (BYOD) or wear your own device (WYOD) policy to interface with a company system during work hours (Caldwell 2014).…”

Section: Discussionmentioning

confidence: 99%

Integrating Social Scientific Perspectives on the Quantified Employee Self

Calvard

2019

Social Sciences

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A key technological trend in big data science is that of the quantified self, whereby individuals can self-track their health and well-being using various sources of information. The aim of this article was to integrate multidimensional views on the positive and negative implications of the quantified self for employees and workplaces. Relevant human and social scientific literature on the quantified (employee) self and self-tracking were drawn upon and organized into three main influential perspectives. Specifically, the article identified (1) psychological perspectives on quantified attitudes and behaviors, (2) sociological perspectives on sociomaterial user construction, and (3) critical theoretical perspectives on digital power and control. This article suggests that the three perspectives are complementary and can be usefully integrated into an embodied sensemaking perspective. Embodied sensemaking views the employee as a self-conscious user of big data seeking to make sense of their embeddedness in wider digital and organizational environments. This article concludes with implications for protecting employee agency in tension with employers’ big data strategies for governing and managing the performance of quantified digital employee selves.

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“…Much research has now explored the use of self-tracking technologies in multiple settings, such as employment and insurance schemes, in schools, within self-quantification/tracking communities, and in leisure pursuits (Ajana, 2017, 2018; Fotopoulou & O’Riordan, 2016; Goodyear et al, 2017; Kristensen & Prigge, 2018; Lupton, 2014; Moore, 2017; Moore et al, 2018; Rettberg, 2014, 2018; Ruffino, 2018; Spiller et al, 2018; Till, 2018). There is, however, a paucity of research on the use of these technologies in representations of “health” on social media, with particular reference to how these performed health identities affect users’ health behaviors in their offline daily lives.…”

Section: Self-tracking Technologies and Instagram As Health Managemenmentioning

confidence: 99%

Self-Tracking Health Over Time: From the Use of Instagram to Perform Optimal Health to the Protective Shield of the Digital Detox

Kent

2020

Social Media + Society

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Instagram and self-tracking technologies enable multiple ways to perform and represent the body and health. No research has yet explored how self-tracking technologies and self-representations of health identity on social media, in particular Instagram, influence health “sharing” online and individual health management offline. To enable a thorough investigation of how self-tracking mediations of identity construction work in practice, through a textual and thematic analysis of empirical ethnographic data from online content, reflexive diaries and semi-structured interviews with 14 participants, this research examines the use of these converged technologies to share health-related data on Instagram in the performance of optimal health identities. Participants identified pressures that arose from this continual performative identity of being a healthy role model under persistent self- and community surveillance, which also led to the development of powerful compulsions to use these technologies to document and share many aspects of health and lifestyle. Over time, the participants attempted to disengage and detox either temporarily or permanently from Instagram, to enable a protective shield from the pervasive, normalized surveillance and community practices. Most interestingly, even when they removed these technologies and platforms from their daily lives, participants still felt neglectful to their devices, to themselves, and to their communities online in their abstinence and resistance to perform optimal health practices.

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Data Privacy: Users’ Thoughts on Quantified Self Personal Data

Cited by 21 publications

References 17 publications

Pets without PETs: on pet owners’ under-estimation of privacy concerns in pet wearables

Pets without PETs: on pet owners’ under-estimation of privacy concerns in pet wearables

Integrating Social Scientific Perspectives on the Quantified Employee Self

Self-Tracking Health Over Time: From the Use of Instagram to Perform Optimal Health to the Protective Shield of the Digital Detox

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