Smart Fitness: Ökonomische Effekte einer Digitalisierung der Selbstvermessung

Budzinski, Oliver; Schneider, Sonja

doi:10.1007/s41025-017-0059-5

Cited by 12 publications

(4 citation statements)

References 23 publications

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“…Google Flu Trends, for instance, takes advantage of users' searches for influenza-related terms to provide both public-health professionals and the general population with a real-time, geographically specific view of influenza search activity in the United States. 24 Other monitoring services include HealthMap and the International Society for Infectious Diseases' Program for Monitoring Emerging Diseases.…”

mentioning

confidence: 99%

The Economics of Privacy

Acquisti

Taylor²,

Wagman³

2016

Journal of Economic Literature

900

406

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mentioning

confidence: 99%

The Economics of Privacy

Acquisti

Taylor²,

Wagman³

2016

Journal of Economic Literature

900

406

View full text Add to dashboard Cite

“…In this context, participants mentioned that while exercising via the fitness platform, no expert is able to verify the correct execution of the users' fitness exercises (I1.5). [25,41,42] 7.4 Self-tracking can be tiring [43] 7.5 Price discrimination in tariff conditions based on tracked health data [24,44] Health literacy 8.1 Less need to acquire knowledge due to access to the internet [45] 8.2 Challenge to find and interpret reliable and appropriate health information [46] 8.3 No validation of online information [47] 8.4 Stress without precise guidance or explanation [27] 8.5 Less awareness and interpretations of bodily reactions and feelings [5,22] In times of social media, influencers set trends also in terms of a healthy lifestyle. Fitness and nutrition become increasingly important within social media.…”

Section: 2mentioning

confidence: 99%

A Healthy Lifestyle and the Adverse Impact of its Digitalization: The Dark Side of Using eHealth Technologies

Behne¹,

Teuteberg²

2020

WI2020 Zentrale Tracks

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eHealth technologies strongly influence healthy lifestyles. In addition to numerous advantages and positive effects, we analyze adverse effects of technologies that are used in everyday life to support a person's health or health management. Therefore, we conducted short interviews and a literature review to structure aspects of a healthy lifestyle in eight areas related to the potential technology usage. Based on that, this contribution presents a systematic collection of negative effects of eHealth technologies on end users or patients. With regard to our results, this contribution provides seven scientific and six practical implications.

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“…Self-design by performance optimization and monitoring performance progress improvement is the motivation behind [ 45 - 47 ]. A less relevant motive is self-entertainment, which includes natural curiosity, a basic interest, and fun in data collection and visualization [ 46 , 48 , 49 ].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Digital Forced-Choice Nudges for Voluntary Data Donation by Health Self-trackers in Germany: Web-Based Experiment

Pilgrim¹,

Bohnet-Joschko²

2022

J Med Internet Res

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Background Health self-tracking is an evidence-based approach to optimize health and well-being for personal self-improvement through lifestyle changes. At the same time, user-generated health-related data can be of particular value for (health care) research. As longitudinal data, these data can provide evidence for developing better and new medications, diagnosing rare diseases faster, or treating chronic diseases. Objective This quantitative study aims to investigate the impact of digital forced-choice nudges on the willingness of German health self-trackers to donate self-tracked health-related data for research. This study contributes to the body of knowledge on the effectiveness of nonmonetary incentives. Our study enables a gender-specific statement on influencing factors on the voluntary donation of personal health data and, at the same time, on the effectiveness of digital forced-choice nudges within tracking apps. Methods We implemented a digital experiment using a web-based questionnaire by graphical manipulation of the Runtastic tracking app interface. We asked 5 groups independently to indicate their willingness to donate tracked data for research. We used a digital forced-choice nudge via a pop-up window, which framed the data donation request with 4 different counter values. We generated the counter values according to the specific target group needs identified from the research literature. Results A sample of 919 was generated, of which, 625 (68%) were women and 294 (32%) were men. By dividing the sample into male and female participants, we take into account research on gender differences in privacy tendencies on the web and offline, showing that female participants display higher privacy concerns than male participants. A statistical group comparison shows that with a small effect size (r=0.21), men are significantly more likely (P=.04) to donate their self-tracked data for research if the need to take on social responsibility is addressed (the prosocial counter value in this case—contributing to society) compared with the control group without counter value. Selfish or pseudoprosocial counter values had no significant effect on willingness to donate health data among male or female health self-trackers in Germany when presented as a forced-choice nudge within a tracking app. Conclusions Although surveys regularly reveal an 80% to 95% willingness to donate data on average in the population, our results show that only 41% (377/919) of the health self-trackers would donate their self-collected health data to research. Although selfish motives do not significantly influence willingness to donate, linking data donation to added societal value could significantly increase the likelihood of donating among male self-trackers by 15.5%. Thus, addressing the need to contribute to society promotes the willingness to donate data among male health self-trackers. The implementation of forced-choice framing nudges within tracking apps presented in a pop-up window can add to the accessibility of user-generated health-related data for research.

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Smart Fitness: Ökonomische Effekte einer Digitalisierung der Selbstvermessung

Cited by 12 publications

References 23 publications

The Economics of Privacy

The Economics of Privacy

A Healthy Lifestyle and the Adverse Impact of its Digitalization: The Dark Side of Using eHealth Technologies

Effectiveness of Digital Forced-Choice Nudges for Voluntary Data Donation by Health Self-trackers in Germany: Web-Based Experiment

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