Technology Adoption, Motivational Aspects, and Privacy Concerns of Wearables in the German Running Community: Field Study

Journals

1. Gilgen-Ammann R, Schweizer T, Wyss T. Accuracy of Distance Recordings in Eight Positioning-Enabled Sport Watches: Instrument Validation Study. JMIR mHealth and uHealth 2020;8(6):e17118 View
2. Adebesin F, Mwalugha R. The Mediating Role of Organizational Reputation and Trust in the Intention to Use Wearable Health Devices: Cross-Country Study. JMIR mHealth and uHealth 2020;8(6):e16721 View
3. Jin D, Halvari H, Maehle N, Olafsen A. Self-tracking behaviour in physical activity: a systematic review of drivers and outcomes of fitness tracking. Behaviour & Information Technology 2022;41(2):242 View
4. Soliño-Fernandez D, Ding A, Bayro-Kaiser E, Ding E. Willingness to adopt wearable devices with behavioral and economic incentives by health insurance wellness programs: results of a US cross-sectional survey with multiple consumer health vignettes. BMC Public Health 2019;19(1) View
5. Heidel A, Hagist C. Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review. JMIR mHealth and uHealth 2020;8(9):e16444 View
6. Strotbaum V, Pobiruchin M, Schreiweis B, Wiesner M, Strahwald B. Your data is gold – Data donation for better healthcare?. it - Information Technology 2019;61(5-6):219 View
7. Attig C, Franke T. Why Do People Abandon Activity Trackers? The Role of User Diversity in Discontinued Use. International Journal of Human–Computer Interaction 2023;39(8):1662 View
8. Ho M, Mantello P, Ghotbi N, Nguyen M, Nguyen H, Vuong Q. Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection. Technology in Society 2022;70:102011 View
9. Mishra A, Baker-Eveleth L, Gala P, Stachofsky J. Factors influencing actual usage of fitness tracking devices: Empirical evidence from the UTAUT model. Health Marketing Quarterly 2023;40(1):19 View
10. Mayne R, Bleakley C, Matthews M. Use of monitoring technology and injury incidence among recreational runners: a cross-sectional study. BMC Sports Science, Medicine and Rehabilitation 2021;13(1) View
11. Neumann D, Tiberius V, Biendarra F. Adopting wearables to customize health insurance contributions: a ranking-type Delphi. BMC Medical Informatics and Decision Making 2022;22(1) View
12. Chan Z, Peeters R, Cheing G, Ferber R, Cheung R. Evaluation of COVID-19 Restrictions on Distance Runners' Training Habits Using Wearable Trackers. Frontiers in Sports and Active Living 2022;3 View
13. Schroeder T, Haug M, Gewald H. Data Privacy Concerns Using mHealth Apps and Smart Speakers: Comparative Interview Study Among Mature Adults. JMIR Formative Research 2022;6(6):e28025 View
14. Chang V, Doan L, Ariel Xu Q, Hall K, Anna Wang Y, Mustafa Kamal M. Digitalization in omnichannel healthcare supply chain businesses: The role of smart wearable devices. Journal of Business Research 2023;156:113369 View
15. Pretlove L, Cox A, Sbaffi L, Hopfgartner F. Using a 360° camera as a mobile data collection method towards understanding information types and use in running. Proceedings of the Association for Information Science and Technology 2020;57(1) View
16. Ogbanufe O, Gerhart N. Exploring smart wearables through the lens of reactance theory: Linking values, social influence, and status quo. Computers in Human Behavior 2022;127:107044 View
17. Low M, Ramayah T. It Isn't enough to be easy and useful! Combined use of SEM and necessary condition analysis for a better understanding of consumers' acceptance of medical wearable devices. Smart Health 2023;27:100370 View
18. Lacey A, Whyte E, O’Keeffe S, O’Connor S, Moran K, Mourot L. A qualitative examination of the factors affecting the adoption of injury focused wearable technologies in recreational runners. PLOS ONE 2022;17(7):e0265475 View
19. Liu C, Wang W, Gao G, Agarwal R. The Virtualization of Experiential Events: Effects on Platform Users. SSRN Electronic Journal 2020 View
20. Palsa L, Mertala P. Contextualizing Everyday Data Literacies: The Case of Recreational Runners. International Journal of Human–Computer Interaction 2024;40(19):5845 View
21. Methlagl M, Michlmayr F, Perillo V. Technological Trust Perceptions in Wearable Fitness Technology: A Person-Centred Approach. Journal of Technology in Behavioral Science 2023;8(4):392 View
22. Liu C, Wang W, Gao G, Agarwal R. The Value of Virtual Engagement: Evidence from a Running Platform. Management Science 2023 View
23. Methlagl M, Mairhofer S, Michlmayr F. Exploring technology acceptance patterns of users of the mixed-reality sport technology Zwift: antecedents and consequences of technology acceptance. Universal Access in the Information Society 2024 View
24. Chowdhary K, Crockett Z, Chua J, Soo Hoo J. Exploring the Relationship between Running-Related Technology Use and Running-Related Injuries: A Cross-Sectional Study of Recreational and Elite Long-Distance Runners. Healthcare 2024;12(6):642 View
25. Tóth K, Takács P, Balatoni I. Users’ Expectations of Smart Devices during Physical Activity—A Literature Review. Applied Sciences 2024;14(8):3518 View
26. Bourgeus A, Vandercruysse L, Verhulst N. Understanding contextual expectations for sharing wearables' data: Insights from a vignette study. Computers in Human Behavior Reports 2024;15:100443 View
27. Wettstein R, Sedaghat-Hamedani F, Heinze O, Amr A, Reich C, Betz T, Kayvanpour E, Merzweiler A, Büsch C, Mohr I, Friedmann-Bette B, Frey N, Dugas M, Meder B. A Remote Patient Monitoring System With Feedback Mechanisms Using a Smartwatch: Concept, Implementation, and Evaluation Based on the activeDCM Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e58441 View
28. Alam P, Bolio A, Lin L, Larson H, Ayatollahi H. Stakeholders’ perceptions of personal health data sharing: A scoping review. PLOS Digital Health 2024;3(11):e0000652 View

Books/Policy Documents

1. Choukou M. Digital Health. View