Self-Quantification with Activity Tracking Technologies: Opportunities and Threats

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    Supervised physical exercise therapy of peripheral artery disease patients: M-health challenges and opportunities
    ( 2021-01-05) Paredes, Hugo ; Paulino, Dennis ; Barroso, João ; Abrantes, Catarina ; Machado, Isabel ; Silva, Ivone
    Peripheral artery disease (PAD) main symptom is intermittent claudication, causing pain and limiting the walking abilities of patients, forcing individuals to temporarily stop walking. One treatment advised to counteract the effects of this disease is the practice of physical exercise with monitoring. Currently the monitored exercise programs are applied at the hospital, so some patients have to travel long distances three times a week, with high costs and low adherence of the patients. This paper presents the cocreation process of a mobile application for quantified supervised home-based exercise therapy on PAD patients. The study aimed to design a solution adapted to users’ needs, which collects the necessary information for the therapy supervision by health professionals. The users’ behaviour with the application allowed the assessment to a set of limitations and potential sources of noise in the supervision data that suggest the evolution to a pervasive solution, by minimizing, or even eliminating, the interaction with the users. The developed tool is a first step towards the creation of a technological ecosystem for the prescription of supervised therapeutic physical exercise, which leverages self-care and allows access to this type of therapy to the entire population. Cardiovascular disease represents a considerable economic burden to society and effective preventive measures are necessary.
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    Fitness First or Safety First? Examining Adverse Consequences of Privacy Seals in the Event of a Data Breach.
    ( 2021-01-05) Masuch, Kristin ; Greve, Maike ; Trang, Simon
    Data breaches are increasing, and fitness trackers have proven to be an ideal target, as they collect highly sensitive personal health data and are not governed by strict security guidelines. Nevertheless, companies encourage their customers to share data with the fitness tracker using privacy seals, gaining their trust without ensuring security. Since companies cannot guarantee security, the question arises on how privacy seals work after not keeping the security promise. This study examines the possibilities to mitigate the consequences of data breaches in advance to maintain the continuance intention. Expectation-confirmation theory (ECT) and privacy assurance statements as a shaping of privacy seals are used to influence customer expectations regarding the data security of fitness trackers in the run-up to a data breach. Results show that the use of privacy assurance statements leads to high-security expectations, and failure to meet these has a negative impact on satisfaction and thus continuance intention.
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