Die Geschichte medienbasierter Selbsttechnologien von Rousseau bis Runtastic

Fröhlich, Gerrit

doi:10.1007/978-3-658-23936-7_10

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…We generated 5 different mock-ups of the tracking app, Runtastic. We chose the app for its continued popularity, familiarity across all age groups, and duration in the market (since 2009—one of the first apps for health self-tracking) [ 73 - 75 ]. These mock-ups depicted the following situation:…”

Section: Methodsmentioning

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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Section: Methodsmentioning

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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Gröschner

Krückel

2023

Kindheit – Bildung – Erziehung. Philosophische Perspektiven

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Psychische Gesundheit via Mood-Tracking?

Scherenberg

2023

Public Health Forum

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Zusammenfassung Gesundheits-Apps mit Mood-Tracking-Funktionen ermöglicht gesunden und erkrankten Menschen ihre emotionalen Stimmungen in Echtzeit zu reflektieren. Mood-Tracking bietet daher ein großes Potenzial zur Verbesserung der psychischen Gesundheit der Bevölkerung. Nicht nur die enorme Heterogenität der App-Funktionalitäten, inkl. der Zielsetzung und Zielgruppen der Apps, sondern auch die angewandten Studiendesigns, erschweren die Überprüfung der Wirksamkeit und erfordern eine differenzierte Betrachtung.

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Die Geschichte medienbasierter Selbsttechnologien von Rousseau bis Runtastic

Cited by 5 publications

References 8 publications

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

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

sich selbst ver-messen

Psychische Gesundheit via Mood-Tracking?

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