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Many factors contribute to people's physical inactivity, but among the leading factors is a lack of motivation. Fitness trackers have been shown to encourage an increase in exercise, but they are frequently abandoned within a few short months. For this thesis I developed and asynchronous-play social gaming platform, FitPlay Games, to fill the gap in motivation left by current fitness trackers. By providing users with a variety of asynchronous cooperative and competitive gaming styles, this platform enable them to find a motivation technique that works best for their lifestyle and fitness prowess. The platform encourages prolonged use of fitness trackers, helping users to have more healthy lifestyles. Individual games are designed to allow both the novice and the maven to have a chance at winning, leveling the playing field, and increasing motivation to win. The effectiveness, usability, and enjoyability of the social games will be assessed, with an emphasis on understanding differences in play habits due to gender and lifestyle.

This study aimed to investigate the use of values based training with typically developing adults to affect levels of physical activity recorded by FitBit Flex technology in the form of step count. Traditional approaches have shown promise but with mixed results. Interestingly, one must look outside of behavior analysis for interventions attempting to affect control by an individual’s covert verbal behavior. Acceptance and Commitment Therapy (ACT) has been shown to be effective in various behavior change areas by using a values based approach that focuses on the control of rules and their motivative functions. An ACT training protocol (ACTr) consisting of values identification, present moment training, and committed action (goal setting) was implemented across four sessions to teach various tools in an effort to relate personal values to physical activity and create short-term and long-term goals with respect to those values. Results show small to moderate increases in physical activity during intervention with continued increases seen in follow-up. These results support the potential of using values based training to increase physical activity levels.

Master of Science / Department of Computing and Information Sciences / Mitchell L. Neilsen / It is well recognized that staying fit and healthy is a significant public problem now days and engaging in moderate levels of physical activity and having healthy food is associated with positive outcomes. Many dietary applications are being used at present times, but they don’t include physical activity in their assessment and even if they do so they require user to manually enter the data which gives room for unintentional mistakes. Nutritional wizard is a dietary and nutritional coach that works synchronously with Fitbit data to achieve this. This application analyses the food intake of an individual and automatically inspects this with his physical activity recorded through the Fitbit to give a cover on his health and fitness. The application has four main parts, input food, analysis, profile, and recipes. In input food part, user gives all the details of the food he had on that day and nutritional wizard gives the person’s calorie intake, steps he made on that day, calories spent, excess calories stored, steps he has to still make on that day. Analysis part of the application gives graphical representations of daily calorie intake in a specific time frame given by user. Profile has user’s height and weight based on which BMI of user is calculated and is represented in a Gantt chart showing if he is in low, good or high BMI. Last Recipes module has few recipes categorized into different selections low carb, low fat, and low protein which user can use to decrease his calorie intake. The completely developed app can be used by any user maintaining a fit bit account to provide good nutritional benefits.

Yes / The family environment plays a crucial role in child physical activity (PA). Wearable activity trackers (wearables) show potential for increasing children's PA; however, few studies have explored families' acceptance of wearables. This study investigated the acceptability of using wearables in a family setting, aligning experiences with components of the Technology Acceptance Model and Theoretical Domains Framework. Twenty-four families, with children aged 5-9 years, took part in a 5-week study, where all members were provided with a Fitbit Alta HR for 4 weeks. Acceptability was measured using weekly surveys and pre-post-questionnaires. Nineteen families participated in a focus group. Quantitative and qualitative data were integrated using the Pillar Integration Process technique. Pillars reflected (1) external variables impacting wearable use and PA and (2) wearable use, (3) ease of use, (4) usefulness for increasing PA and other health outcomes, (5) attitudes, and (6) intention to use a wearable, including future intervention suggestions. Families found the Fitbit easy to use and acceptable, but use varied, and perceived impact on PA were mixed, with external variables contributing towards this. This study provides insights into how wearables may be integrated into family-based PA interventions and highlights barriers and facilitators of family wearable use. / This study is funded as part of a Ph.D. studentship by the Born in Bradford study. The Born in Bradford study receives core infrastructure funding from the Wellcome Trust (WT101597MA) and the National Institute for Health Research (NIHR), under its NIHR ARC Yorkshire and Humber (NIHR200166) and Clinical Research Network (CRN) research delivery support. For this piece of work, funding from the Sport England’s Local Delivery Pilot awarded Born in Bradford funding for this Ph.D. studentship. S.A.C. is supported by the NIHR Leicester Biomedical Research Centre—Lifestyle theme

The World Health Organization (WHO, 2016) reports that 3.2 million deaths per year are attributable to physical inactivity, making it the fourth leading risk factor for global mortality. Physical inactivity is also a key risk factor for noncommunicable diseases such as cardiovascular disease, cancer, and diabetes (WHO, 2018). Globally, 1 in 4 adults is not active enough and, therefore, foregoes a myriad of health benefits associated with Physical Activity (PA; WHO, 2018). In the United States, only about 1 in 5 (21%) adults meet the 2008 Physical Activity Guidelines set by the Centers for Disease Control and Prevention (CDC, 2018). The CDC currently recommends adults engage in 150 min of moderate-intensity aerobic activity per week (CDC, 2018). Translated to steps, the recommendation can be met by taking 3,000 steps in 30 min, 5 days per week (Marshall et al., 2009). Physical inactivity is also a major contributor to obesity (WHO, 2018). According to the WHO (2018), worldwide prevalence of obesity almost tripled since 1975. In the United States, the medical costs of obesity were estimated to be $147 billion, or 10% of all medical spending (Finkelstein, Trogdon, Cohen, & Dietz, 2009). To combat the many problems associated with physical inactivity, the CDC (2015), the WHO (2018), and the American Heart Association (2018) prescribe increased PA. Furthermore, increased PA contributes to a variety of other health benefits, including a decreased risk for cardiovascular disease, type 2 diabetes, some cancers, as well as improved mental health, and increased life expectancy (CDC, 2018).

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Competition and data protection law are two powerful regimes simultaneously shaping the use of digital information, which has given rise to new interactions between these areas of law. While most views on this intersection emphasize that competition and data protection law must work together, nascent developments indicate that these legal regimes may sometimes conflict.  In the first place, firms faced with antitrust allegations are to an increasing extent invoking the need to protect the privacy of their users to justify their impugned conduct. Here, the conduct could either be prohibited by competition law despite of data protection or justified under competition law because of data protection. In the EU, no such justification attempt has reached court-stage, and it remains unclear how an enforcer ought to deal with such a claim. In the second place, competition law can mandate a firm to provide access to commercially valuable personal data to its rivals under a competition law remedy. Where that is the case, the question arising in this connection is whether an enforcer can and should design the remedy in a way that aligns with data protection law. If so, the issue remains of how that ought to be done. The task of the thesis has been to explore these issues, legally, economically, and coherently.  The thesis has rendered four main conclusions. First, data protection has a justified role in EU competition law in two ways. On the one hand, enhanced data protection can increase the quality of a service and may thus be factored in the competitive analysis as a dimension of quality. On the other, data protection as a human right must be guaranteed in the application of competition law. Second, these perspectives can be squared with the criteria for justifying competition breaches, in that data protection can be invoked to exculpate a firm from antitrust allegations. Third, in that context, the human rights dimension of data protection may entail that the enforcer must consider data protection even if it is not invoked. However, allowing data protection interests to override competition law in this manner is relatively inefficient as it may lead to less innovation, higher costs, and lower revenues. Fourth, the profound importance of data protection in the EU necessarily means that enforcers should accommodate data protection interests in designing competition law remedies which mandate access to personal data. This may be done in several ways, including requirements to anonymize data before providing access, or to oblige the firm to be compliant with data protection law in the process of providing access. The analysis largely confirms that anonymization is the preferable option.

The ownership and demand for fitness trackers, smartwatches, and wrist-worn deviceshave been increasing globally. These devices offer various features such as measuringphysical activity, sleep monitoring, and health-related measurements like heart rate andheart rate variability using PhotoPlethysmoGraphy (PPG). However, research indicatesthat PPG measurements are less accurate on darker skin compared to lighter skin due to thehigher presence of melanin, a light-absorbing substance in dark skin.This thesis addresses the impact of melanin on the accuracy of heart rate measurements ondifferent skin colors using four commercial smartwatches, Apple Watch Series 5, FitbitCharge 2, Xiaomi Miband 3, and Sony mSafety. The study involves analyzing the accuracyof these smartwatches on individuals with varying skin colors while controlling forexternal factors. The collected data from the smartwatches are compared to a referencesensor that uses electrocardiography (ECG) measurements with electrodes placed aroundthe chest. Three different tests are conducted wearing the devices, with no movement,while walking, and with circular hand motions.The tests were conducted on twelve participants representing the 6 different skin typescategorized using the Fitzpatrick scale. With the presented results in this thesis, it wasconcluded that the 4 smartwatches' measurement accuracy does not seem to be dependenton specific skin types. Ranked in terms of Mean Absolute Error (MAE), the Apple Watchshowed the lowest value, followed by Xiaomi, Fitbit and the mSafety and that the accuracydid not depend on skin color. / Ägandet och efterfrågan av smartklockor har ökat globalt. Dessa enheter erbjuder olikafunktioner som mäter fysisk aktivitet, övervakning av sömn och hälsorelaterade mätningarsom puls och hjärtfrekvensvariabilitet med hjälp av PhotoPlethysmoGraphy (PPG).Forskning har dock visat att PPG-mätningar är mindre noggranna på mörkare hud jämförtmed ljusare hud på grund av den högre närvaron av substansen melanin, ettljusabsorberande ämne.Syftet med detta arbete är att undersöka påverkan av melanin på noggrannheten i pulsmätningar på olika hudfärger med hjälp av fyra kommersiella smartklockor: Apple WatchSeries 5, Fitbit Charge 2, Xiaomi Miband 3 och mSafety av Sony. Arbetet inkluderar enanalys av dessa smartklockors noggrannhet på personer med de olika hudfärger samtidigtsom externa faktorer som kan påverka noggrannheten kontrolleras. De insamlade data frånsmartklockorna jämförs med en referenssensor, Polar band, som använderelektrokardiografimätningar (ECG) med elektroder. Tre olika tester utförs med enheterna,utan rörelse, medan man går och med cirkulära handrörelser.Testerna utfördes på tolv deltagare som representerar olika hudtyper kategoriserade enligtFitzpatrick-skalan. Utifrån de presenterade resultaten i denna avhandling drogs slutsatsenatt de fyra smartklockornas mätnoggrannhet inte verkar vara beroende av specifikahudtyper. Rankade i termer av Mean Absolute Error (MAE) visade Apple Watch det lägstavärdet, följt av Xiaomi, Fitbit och mSafety.