Wearable Privacy: Skeletons in The Data Closet

Lowens, Byron; Motti, Vivian Genaro; Caine, Kelly

doi:10.1109/ichi.2017.29

Cited by 27 publications

(31 citation statements)

References 37 publications

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“…On average, barely 50% answered positive on the impact of their intervenability, which was broken down into 55% breaches, 46% consequences, and 45% tips. Scenarios dealing with deviating processes (scenario 2) or nameable affiliates (3,7,11,15) registered high positive counts. Similar to notification, scenarios 10, 12 and 16 registered the fewest positive counts.…”

Section: Notification Preferencesmentioning

confidence: 99%

“…However, according to [7], the consequences of how mhealth data processed by data services are not fully transparent to the users of such services. Data subjects often lack the information necessary to make informed decisions about managing their personal data and to exercise their right of intervenability, especially in scenarios that involve third parties.…”

Section: Introductionmentioning

confidence: 99%

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To Be, or Not to Be Notified

Murmann

Reinhardt

Fischer‐Hübner

2019

ICT Systems Security and Privacy Protection

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Millions of people are tracking and quantifying their fitness and health, and entrust online mobile health (mhealth) services with storing and processing their sensitive personal data. Ex post transparencyenhancing tools (TETs) enable users to keep track of how their personal data are processed, and represent important building blocks to understand privacy implications and control one's online privacy. Particularly, privacy notifications provide users of TETs with the insight necessary to make informed decision about controlling their personal data that they have disclosed previously. To investigate the notification preferences of users of online mhealth services, we conducted an online study. We analysed how notification scenarios can be grouped contextually, and how user preferences with respect to being notified relate to intervenability. Moreover, we examined to what extent ex post notification preferences correlate with privacy personas established in the context of trust in and reliability of online data services. Based on our findings, we discuss the implications for the design of usable ex post TETs.

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Section: Notification Preferencesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

To Be, or Not to Be Notified

Murmann

Reinhardt

Fischer‐Hübner

2019

ICT Systems Security and Privacy Protection

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“…Some researchers have examined security and privacy more broadly, by looking at a range of existing and emerging technologies [61,69], while others have focused on digital apps [67,75] and social media contexts [24]. Less studied are IoT devices [9], wearables [21,33,50,55,59], and fitness trackers [1,3,42,57,58,76,82].…”

Section: Chapter 2 Backgroundmentioning

confidence: 99%

“…Existing research in the area of security and privacy related to fitness trackers includes: investigating users' concerns, use and sharing of data and protection strategies [3,42,76,82]; the perception of risk with various data an assessment of the sensitivity of their data [82]; the valuation of their personal fitness information [76] and knowledge of company data collection policies [3,76]; their perceptions of the benefits and drawbacks of using fitness trackers [3,42,82]; misconceptions associated with the collection of data [42]; willingness to share sensor data versus derived information (for example, accelerometer data versus step information) [64]; sharing preferences and behaviours of fitness and health information [57]; and examining folk theoriesuser beliefs and understandings -of what exactly is collected by sensor data and how these guide users to manage their privacy choices [58]. Others demonstrated to users how their identity can be revealed when fitness tracker and online social network data is merged [1].…”

Section: Fitness Trackersmentioning

confidence: 99%

“…We briefly describe the main studies relating to fitness trackers that are used throughout the remainder of this chapter. [42] recruited 20 fitness tracker users from a university campus. Using semi-structured interviews, they investigated these fitness tracker users' perceptions of privacy of health related data collected through wearables.…”

Section: Fitness Trackersmentioning

confidence: 99%

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User Awareness of Privacy Risks Related to the Collection of Fitness Tracker Data

Gabriele¹

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Personal data collected by fitness trackers can leave users open to security and privacy threats, often without their knowledge. We explored whether increasing user awareness of security and privacy risks might prompt users to take action to protect their personal information. First, we conducted an online survey with 212 fitness tracker users to understand participants' knowledge, attitudes and behaviours related to security and privacy with their fitness trackers. We designed information posters based on our results and conducted a second in-person study with 34 participants. Overall, we found users have distinct sharing preferences for specific types of data and for specific recipients; and they exhibit contradictory behaviour. We demonstrate that it is possible to change fitness tracker users' reported privacy behaviours by showing them information posters. Overall, our findings show fitness tracker users require a greater awareness of protection practices and can benefit, if provided with information. ii iii List of Tables viii List of Figures ix Chapter 1 Please indicate the fitness tracker graph data you would be comfortable sharing with each of the groups of people. (Check all that apply).

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“To protect my health or to protect my health privacy?” A mixed‐methods investigation of the privacy paradox

Fox

2020

Asso for Info Science & Tech

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This paper examines the role of privacy in the health context by investigating the influence of privacy concerns and perceived benefits on individuals' acceptance of health technologies used by healthcare providers and their own adoption of mobile health technologies. The study adopts a two‐stage sequential mixed‐methods design. The first stage is a quantitative survey of 447 citizens from two countries. The second stage involves 50 qualitative interviews which further untangle the roles of privacy concern and benefits. The integrated findings provide evidence that a privacy paradox exists. While individuals continue to express a high desire for privacy, their consideration of the benefits and privacy concerns prior to adoption is largely skewed toward the benefits, due to a lack of privacy knowledge, emphasis on immediate gratification, overestimation of the benefits, and underestimation of the risks. The study further extends the privacy calculus theory to the health context and acknowledges the factors impacting this comparison of benefits and privacy concerns prior to and postadoption of a new technology. The study provides actionable insights for practice, highlighting the importance of privacy education to foster awareness and control mechanisms to negate the potential negative effects of privacy concern.

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Wearable Privacy: Skeletons in The Data Closet

Cited by 27 publications

References 37 publications

To Be, or Not to Be Notified

To Be, or Not to Be Notified

User Awareness of Privacy Risks Related to the Collection of Fitness Tracker Data

“To protect my health or to protect my health privacy?” A mixed‐methods investigation of the privacy paradox

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