Digital Health and the Gamification of Life: How Apps Can Promote a Positive Medicalization

Maturo, Antonio Francesco; Moretti, Veronica

doi:10.1108/9781787543652

Cited by 20 publications

(12 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Additionally, they synthesize their experiences and produce interpretations and remedies for their shared conditions that are distinct from those offered by medicine (Henwood and Marent 2019). The use of health apps and other digital technologies (e.g., self-tracking devices), along with health platforms like 23andMe, encourage and commodify lay expertise by inviting laity to be coproducers of new modes of medical knowing (Maturo and Moretti 2018; Saukko 2018). In sum, digitally generated lay expertise operates as a crucial resource for circumnavigating medicine’s unknowns at the same time that it produces new medical knowledges and practices.…”

Section: Lay Expertise: Close Encounters With Medical Ignorancementioning

confidence: 99%

Uncertain and under Quarantine: Toward a Sociology of Medical Ignorance

Whooley

Barker

2021

J Health Soc Behav

View full text Add to dashboard Cite

At the center of the COVID-19 pandemic lies a ubiquitous feature of medicine. Medicine is permeated with ignorance. Seizing this moment to assess the current state of medical sociology, this article articulates a sociology of medical ignorance. We join insights from earlier medical sociological scholarship on uncertainty with emerging research in the sociology of ignorance to help make sense of the omnipresent but sometimes invisible dynamics related to the unknowns in medicine. Then we examine two streams of inquiry with a focus on uncertainty and ignorance—(1) research on the interconnections between technology, medical authority, and ignorance and (2) research on lay expertise within the context of ever-present uncertainties. For decades, and to good effect, medical sociologists have asked, “What does medicine know, and what are the consequences of such knowing?” Going forward, we encourage medical sociologists to examine the unknown in medicine and the consequences of not knowing.

show abstract

Section: Lay Expertise: Close Encounters With Medical Ignorancementioning

confidence: 99%

Uncertain and under Quarantine: Toward a Sociology of Medical Ignorance

Whooley

Barker

2021

J Health Soc Behav

View full text Add to dashboard Cite

show abstract

“…However, in contemporary literature, there is even more worry about the effects of digital assistants on people's ability for self-determination and autonomy than on their utility (Frischmann & Selinger, 2018;Lanzing, 2016;Maturo & Moretti, 2018;Poon, 2016;Sax, 2021;Susser, 2019, for an analysis of several such criticisms, see "4. Replies to a common objection: reduction of autonomy," below).…”

Section: The Ethical Perspective: Self-examination and Autonomymentioning

confidence: 99%

“…These technologies do involve a threat of manipulation; they are intended to grab the attention of users and to gather more information about them, which can be marketed (for a detailed and fairly balanced analysis of these issues cf. Maturo & Moretti, 2018). I do not want to deny that this is a process which is likely to occur in the use of digital assistants.…”

Section: Replies To a Common Objection: Reduction Of Autonomymentioning

confidence: 99%

Why Digital Assistants Need Your Information to Support Your Autonomy

Heinrichs

2021

Philos. Technol.

View full text Add to dashboard Cite

This article investigates how human life is conceptualized in the design and use of digital assistants and how this conceptualization feeds back into the life really lived. It suggests that a specific way of conceptualizing human life — namely as a set of tasks to be optimized — is responsible for the much-criticized information hunger of these digital assistants. The data collection of digital assistants raises not just several issues of privacy, but also the potential for improving people’s degree of self-determination, because the optimization model of daily activity is genuinely suited to a certain mode of self-determination, namely the explicit and reflective setting, pursuing, and monitoring of goals. Furthermore, optimization systems’ need for generation and analysis of data overcomes one of the core weaknesses in human capacities for self-determination, namely problems with objective and quantitative self-assessment. It will be argued that critiques according to which digital assistants threaten to reduce their users’ autonomy tend to ignore that the risks to autonomy are derivative to potential gains in autonomy. These critiques are based on an overemphasis of a success conception of autonomy. Counter to this conception, being autonomous does not require a choice environment that exclusively supports a person’s “true” preferences, but the opportunity to engage with external influences, supportive as well as adverse. In conclusion, it will be argued that ethical evaluations of digital assistants should consider potential gains as well as potential risks for autonomy caused by the use of digital assistants.

show abstract

“…Participants are motivated by giving rewards and badges for each question they complete. Gamification has also been used in positive treatment campaigns [8]. Another example of gamification in the health sector is Nike + application for sports activities [9].…”

Section: Introductionmentioning

confidence: 99%

Gift-exchange Game Theory for Gamification on Digital Data Collection Systems

Supriyanto

Fahana

2020

LKJITI

View full text Add to dashboard Cite

Gamification is widely used to increase user motivation by applying game elements to things that are not game-based. For example, in a data collection system. Gamification is used to increase the motivation of users to want to get involved. The elements of the game that are often used are rewards, badges, and leaderboards. But some implementations have not been able to ensure increased user motivation. Gamification applied needs to consider the use of game theory. Game theory is used to determine the right gamification model for digital data collection. This paper discusses the application of gift-exchange-games (GEG) in the gamification of digital data collection systems. GEG is used to model player interactions in the gamification system. GEG implementation of Gamification can improve user involvement in the system. This theoretical model can later be used for a more efficient data collection system development platform. Keywords: gamification, game theory, data collection, gift-exchange-game, geg

show abstract

Digital Health and the Gamification of Life: How Apps Can Promote a Positive Medicalization

Cited by 20 publications

References 0 publications

Uncertain and under Quarantine: Toward a Sociology of Medical Ignorance

Uncertain and under Quarantine: Toward a Sociology of Medical Ignorance

Why Digital Assistants Need Your Information to Support Your Autonomy

Gift-exchange Game Theory for Gamification on Digital Data Collection Systems

Contact Info

Product

Resources

About