Exploring Quantified Self Attitudes

Maeyer, Christel De; Markopoulos, Panos

doi:10.5220/0006530802530260

Cited by 6 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Maeyer and Markopolous differentiate ‘Social’, ‘Achiever’ and ‘Avid self-trackers’. 38 The Social self-tracker likes to share their data within a group, for example on the platform of their device in order to attain reciprocal stimulation and motivation for achieving mutual goals. A connection to others is also important for the Achiever Self-tracker, who loves to compete and pursue self-set goals.…”

Section: Resultsmentioning

confidence: 99%

“… 23 , 99 Numerous studies have shown that individuals with a higher socio-economic status, i.e., income and education, and better health, use CHTs more often. 38 , 61 , 100 , 105 This finding may be explained with the existence of personal resources like digital literacy and ownership of high-quality CHTs, and the motivation to lead a healthy lifestyle in higher socio-economic groups. 100 …”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

User types, psycho-social effects and societal trends related to the use of consumer health technologies

et al. 2023

View full text Add to dashboard Cite

Objective The term consumer health technologies we use in this paper refers to fitness and health apps, wearables and other self-tracking devices that collect health-related data. Our paper aims to bridge the gap between the growing literature base of sociological research and ethical reflection on the (non-intended) effects of consumer health technology use on the psycho-social level, such as stress, responsibilization or a loss of intuitive sense for signs of health or illness. Special consideration should be given to vulnerable individuals, as the positive and negative effects of consumer health technology use may be unequally distributed. This perspective may help to guide policymaking and the responsible development of consumer health technologies. Methods Using a narrative review approach, we refer to empirical and theoretical studies dealing with user types and effects related to the use of consumer health technologies. We provide an overview of consumer health technology user typologies and evidence of the unintended psycho-social effects of consumer health technology use. On this basis, we propose a user typology that may serve as a future tool for ethical reflection on negative side effects. Results Evidence of the potential negative side effects of consumer health technology use, as presented in the literature, is inconclusive due to the high diversity of consumer health technology users and the way they use consumer health technologies. Our proposed user typology aims to more comprehensively document the diversity of users by incorporating the way in which users identify with and use their self-tracked data, attitudes towards the new technology and social interactions via consumer health technologies, and the purpose and self-determinedness of consumer health technology use. Conclusions More systematic and quantitative empirical research on the effects of consumer health technology use in diverse settings and with diverse user types is necessary to inform public health policy. In addition to evidence-based certification of medical consumer health technologies, more practical and flexible ways to protect users from side effects may have to be developed and adopted, especially regarding the increasing number of non-medical consumer health technologies.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

User types, psycho-social effects and societal trends related to the use of consumer health technologies

et al. 2023

View full text Add to dashboard Cite

show abstract

“…As Choe et al describe [13], such desires are frequently born from a concrete health-related need, such as executing a prescribed treatment or finding triggers for an allergy, rather than a general aim to become more healthy. At the same time, other studies show how, independently of the starting incentive,long-term self-trackers value the support and motivation that these technologies trigger for having a durable change in their lives [14].…”

Section: Challenges and Opportunities Of Self-tracking Technologiesmentioning

confidence: 99%

“…Other research, instead, gives self-tracking devices an empowering capacity, giving people personal agency and making them feel in control of their lives [7]. Feedback loops [14] have the potential to not only motivate users, but also to enable them to achieve results they may have previously believed unattainable. By consulting their own personal information, and by unconsciously accepting the responsibility that comes with it, self-trackers can exert control on their own bodies and lives.…”

Section: Challenges and Opportunities Of Self-tracking Technologiesmentioning

confidence: 99%

Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home

Motta,

Groves,

Schneider

et al. 2023

PLOS Digit Health

View full text Add to dashboard Cite

Self-tracking technologies open new doors to previously unimaginable scenarios. The diagnosis of diseases years in advance, or supporting the health of astronauts on missions to Mars are just some of many example applications. During the COVID-19 pandemic, a wide range of self-monitoring protocols emerged, revealing opportunities but also challenges including difficulties in understanding how to self-use monitoring systems, struggling to recognize the benefit of such systems and a high likelihood of abandonment. In this paper, we explore the role that design plays in the creation of a user experience of self-tracking, with a focus on urine analysis at home. We investigate adoption factors and forms of data expression to overcome the presented challenges. By combining insights from related work, semi-structured interviews and indicative user-tests, we show the potential of pairing a traditional numerical data representation (data quantification) with a qualitative expression of the data (data qualification). Indeed, qualitative expressions have the potential to convey the complexity of the phenomena tracked, enabling deep meaning-making and emotional connection to personal data. At the same time, we also identify issues with this approach, which can require a longer learning curve and lead to rejection by users more accustomed to traditional, numerical approaches. Based on the results, several recommendations have been converted into an experimental proposition, which also presents future plans for the continuation of the project. This article presents the first fundamental step in creating a meaningful experience of self-tracking, taking into consideration the needs and expectations of future users.

show abstract

“…These data can be recorded daily (heart rate, respiration, hours slept) or even more frequently (blood pressure or weight, for example). Other data that can enrich the QS user model can be related to short-term and long-term information, such as the attitudes, behaviors, effects, and cognitive functions of users [18,19]. QS can involve the graphical presentation of the information and a response loop of reflection and self-analysis [17].…”

Section: Introductionmentioning

confidence: 99%

Health Promotion for Childhood Obesity: An Approach Based on Self-Tracking of Data

Gómez-Del-Río

González-González

Toledo-Delgado

et al. 2020

Sensors

View full text Add to dashboard Cite

At present, obesity and overweight are a global health epidemic. Traditional interventions for promoting healthy habits do not appear to be effective. However, emerging technological solutions based on wearables and mobile devices can be useful in promoting healthy habits. These applications generate a considerable amount of tracked activity data. Consequently, our approach is based on the quantified-self model for recommending healthy activities. Gamification can also be used as a mechanism to enhance personalization, increasing user motivation. This paper describes the quantified-self model and its data sources, the activity recommender system, and the PROVITAO App user experience model. Furthermore, it presents the results of a gamified program applied for three years in children with obesity and the process of evaluating the quantified-self model with experts. Positive outcomes were obtained in children’s medical parameters and health habits.

show abstract

Exploring Quantified Self Attitudes

Cited by 6 publications

References 0 publications

User types, psycho-social effects and societal trends related to the use of consumer health technologies

User types, psycho-social effects and societal trends related to the use of consumer health technologies

Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home

Health Promotion for Childhood Obesity: An Approach Based on Self-Tracking of Data

Contact Info

Product

Resources

About