Privacy Attitudes and Data Valuation Among Fitness Tracker Users

Vitak, Jessica; Liao, Yuting; Kumar, Priya; Zimmer, Michael; Kritikos, Katherine

doi:10.1007/978-3-319-78105-1_27

Cited by 38 publications

(32 citation statements)

References 18 publications

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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%

“…Users are generally ill-informed about digital data collection practices associated with fitness and health related wearables [1,42,50,82] and how data can be misused when collected long-term or combined with other data [50]. They are unaware or unsure of what data is collected, how it is used, who owns the data, with whom it is shared [42,76], what is shared and when it is accessed [42], how it is stored [42,76], for how long [42] and if it is anonymized [1].…”

Section: Data Collection Practicesmentioning

confidence: 99%

“…Zimmer et al [82] found users of fitness trackers have minimal privacy concerns but users would be concerned if data beyond their steps was shared [82]. Vitak et al [76] show that users express concern about privacy in relation to their fitness trackers but they demonstrate a lack of concern about what they actually share [76]. Motti and Caine [50] revealed that user concerns are not necessarily related to the kind of wearable, but instead are focused on the type of data the sensors collect.…”

Section: Privacy Concernsmentioning

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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Section: Chapter 2 Backgroundmentioning

confidence: 99%

Section: Fitness Trackersmentioning

confidence: 99%

Section: Data Collection Practicesmentioning

confidence: 99%

Section: Privacy Concernsmentioning

confidence: 99%

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

Gabriele¹

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“…The wearable health devices also allow the user to share their information to social media or other users e.g. exercise routines, real-time mapped running routes and exercise challenges (Vitak, Liao, Kumar, Zimmer, & Kritikos, 2018). These devices continually monitor human activity for purposes of improving the efficiency, productivity and health management of the user (Cilliers, 2019).…”

Section: Introductionmentioning

confidence: 99%

Privacy in wearable health devices: How does POPIA measure up?

Katurura

Cilliers

Kalpa Publications in Computing

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The market for wearable devices that is used for health monitoring has steadily increased over the past few years. South Africa has also seen an increase in the adoption of these wearable device. This is partly because these devices allow users to monitor their health and wellbeing in real time. However, to be efficient, the devices must collect a large amount of data. Some of the data that is collected include personally identifiable and health information which could be considered sensitive to the user. This study investigated if the Protection of Personal Information Act (POPIA) provides adequate protection to South African users of wearable health devices. The POPIA and the privacy policy of the 2 most popular wearable health devices in South Africa, the Apple watch and Fit- bit, were qualitatively compared making use of Hutton et al’s (2018) heuristic framework. The study found that POPIA protected the users’ privacy when it came to notice, users’ awareness, choice and consent, access and participation. The Act did not cover any privacy matters related to social disclosure of information by users. The study also found that Apple watch and Fitbit did well in protecting users’ privacy with regards to notice and awareness as well as access and participation. The two wearables performed poorest in regards to choice and consent as well as social disclosure controls to protect users’ privacy. The study recommend that users educate themselves in regard to how their data collected by wearable health devices are collected and protected.

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Online privacy concerns and privacy protection strategies among older adults in East York, Canada

Quan‐Haase

2020

Asso for Info Science & Tech

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As news headlines report on high‐profile online privacy breaches and the potential negative consequences for users, users are becoming concerned about their privacy. While much research has focused on the concerns of younger generations, few studies have investigated older adults, specifically those aged 65+ years. This study analyzes in‐depth interviews with 40 older adults living in East York, Toronto, Canada, to investigate their online privacy concerns and the strategies they use to mitigate these concerns. We find that East York older adults are mostly concerned about security privacy concerns followed by institutional privacy concerns and only minimally concerned about social privacy. The greatest concerns included information misuse by unknown others and unauthorized access to their personal information. We found that, for some older adults, their high privacy concerns precluded them from taking full advantage of the potential benefits of digital media. East York older adults varied considerably in their use of privacy protection strategies; some older adults used no strategies, while others were eager to protect their privacy using all strategies at their disposal.

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Privacy Attitudes and Data Valuation Among Fitness Tracker Users

Cited by 38 publications

References 18 publications

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

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

Privacy in wearable health devices: How does POPIA measure up?

Online privacy concerns and privacy protection strategies among older adults in East York, Canada

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