Abstract
Wearable technologies have increasingly gained popularity during the last few years. In the medical field, prevention, diagnosis, and rehabilitation are relevant application fields that promise great potential. However, most of these devices are predominantly adapted to the needs of younger target groups who are already familiar with intelligent technologies. Older adults, on the other hand, often have poor access to technology, which derives from a low belief in technology control and competence as well as sensory, physical, and cognitive impairments. This specific target group thus has special needs on the design and usability of wearable technologies. Especially for a self-determined lifestyle, wearables can support older adults in the process of learning health-related skills for self-management and health-related behavior in the context of chronical and age-associated diseases. In this book chapter, the authors present insights that provide current research on older adults and wearable technologies. The results of requirement analyses, laboratory tests, and pilot studies with different quantitative and qualitative methods are presented and discussed. Specific requirements and suggestions are presented, relevant to researchers, designers, and developers working with the target group of older adults.
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References
Ahmad, N., Rextin, A., & Kulsoom, U. E. (2018). Perspectives on usability guidelines for smartphone applications. Information and Software Technology, 94, 130–149. (2000). https://doi.org/10.1016/j.infsof.2017.10.005.
American Association of Retired Persons [AARP]. (2015). Building a better tracker: Older consumers weigh in on activity and sleep monitoring devices. Resource document. AARP. http://www.aarp.org/content/dam/aarp/home-and-family/personal-technology/2015-07/innovation-50-project-catalyst-tracker-study-AARP.pdf. Accessed 9 Sept 2018.
Amft, O. (2018). How wearable computing is shaping digital health. IEEE Pervasive Computing, 17(1), 92–98. https://doi.org/10.1109/MPRV.2018.011591067.
Banerjee, S., Hemphill, T., & Longstreet, P. (2018). Wearable devices and healthcare: Data sharing and privacy. The Information Society, 34(1), 49–57. https://doi.org/10.1080/01972243.2017.1391912.
Berkemeier, L., Niemöller, C., Metzger, D., & Thomas, O. (2018). Akzeptanz von Smart Glasses für die Aus- und Weiterbildung. In O. Thomas, D. Metzger, & H. Niegemann (Eds.), Digitalisierung in der Aus- und Weiterbildung (pp. 143–156). Berlin: Springer.
Bienhaus, D. (2016). Smartwatch und Wearables im Gesundheitsbereich: Grundlagen und Anwendungen. In H. C. Mayr & M. Pinzger (Eds.), GI-Edition Lecture notes in informatics, Proceedings, Informatik 2016 (pp. 1825–1836). Bonn: GI-Jahrestagung.
Bitkom. (2016a). Fitness-Tracker und Datenschutz. Gemeinsame Presseinfo von Bitkom und BMJV: Fast ein Drittel nutzt Fitness-Tracker. Resource document. Bitkom. https://www.bitkom.org/Presse/Anhaenge-an-PIs/2016/Bitkom-Charts-PK-Safer-Internet-Day-E-Tracker-und-Datenschutz-09-02-2016-final.pdf. Accessed 20 Sept 2018.
Bitkom. (2016b). Am Puls der Zeit: Smartwatches haben großes Potenzial. https://www.bitkom.org/Presse/Presseinformation/Am-Puls-der-Zeit-Smartwatches-haben-grosses-Potenzial.html. Accessed 15 Sept 2018.
Bitkom. (2017). Fast jeder Zweite nutzt Gesundheits-Apps. https://www.bitkom.org/Presse/Presseinformation/Fast-jeder-Zweite-nutzt-Gesundheits-Apps.html. Accessed 13 Sept 2018.
Björnsjö, A., Viglino, M., & Lovati, G. (2014). Engaging the digital consumer in the new connected world. Resource document. Accenture. https://www.accenture.com/sg-en/error/pagenotfound?errSrc=%2fsg-en%2fevent-digital-consumer-survey-2018. Accessed 7 Sept 2018.
Bliem-Ritz, D. (2014). Wearable Computing: Benutzerschnittstellen zum Anziehen. http://www.disserta-verlag.de. Accessed 5 Sept 2018.
Brigham, T. J. (2015). An introduction to gamification: Adding game elements for engagement. Medical Reference Services Quarterly, 34(4), 471–480. https://doi.org/10.1080/02763869.2015.1082385.
Buchem, I., Merceron, A., Kreutel, J., Haesner, M., & Steinert, A. (2014). Wearable enhanced learning for healthy ageing: Conceptual framework and architecture of the “fitness MOOC”. Interaction Design and Architecture(s) Journal, 24, 111–124.
Bundesministerium des Inneren. (2015). Jedes Alter zählt – „Für mehr Wohlstand und Lebensqualität aller Generationen“: Weiterentwicklung der Demografiestrategie der Bundesregierung. Resource document. BMI. http://www.demografie-portal.de/DE/Informieren/Dialogprozess/Weiterentwicklung_Demografiestrategie.pdf?__blob=publicationFile&v=15. Accessed 5 Sept 2018.
Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E. (2013). Adherence to a smartphone application for weight loss compared to website and paper diary: Pilot randomized controlled trial. Journal of Medical Internet Research, 15, e32. https://doi.org/10.2196/jmir.2283.
Chiauzzi, E., Rodarte, C., & DasMahapatra, P. (2015). Patient-centered activity monitoring in the self-management of chronic health conditions. BMC Medicine, 13, 77. https://doi.org/10.1186/s12916-015-0319-2.
Croteau, K. A. (2004). A preliminary study on the impact of a pedometer-based intervention on daily steps. American Journal of Health Promotion: AJHP, 18(3), 217–220. https://doi.org/10.4278/0890-1171-18.3.217.
Dimitrov, D. V. (2016). Medical internet of things and big data in healthcare. Healthcare Informatics Research, 22(3), 156–163. https://doi.org/10.4258/hir.2016.22.3.156.
Endl, R., Jäschke, T., Thiel, C., & Wickinghoff, V. (2015). mHealth im Kontext des elektronischen Patientendossiers. eHealth Suisse. https://doi.org/10.13140/RG.2.1.2148.8167.
European Commission. (2014). Green paper on mobile health (“mHealth”). http://ec.europa.eu/newsroom/dae/document.cfm?doc_id=5147. Accessed 19 Sept 2018.
Eysenbach, G. (2001). What is e-health? Journal of Medical Internet Research, 3, E20. https://doi.org/10.2196/jmir.3.2.e20.
Fischer, F., & Krämer, A. (2016). eHealth in Deutschland: Anforderungen und Potenziale innovativer Versorgungsstrukturen. Berlin: Springer.
Gaglani, S. M., & Topol, E. J. (2014). iMedEd: The role of mobile health technologies in medical education. Academic Medicine: Journal of the Association of American Medical Colleges, 89(9), 1207–1209. https://doi.org/10.1097/ACM.0000000000000361.
Genaro Motti, V., & Caine, K. (2015). An overview of wearable applications for healthcare. In ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 (Ed.), ACM international symposium on wearable computers (pp. 635–641). New York: ACM.
Growth from Knowledge [GfK]. (2017). Record global demand for smartphones and wearables in first half 2017. https://www.gfk.com/insights/press-release/record-global-demand-for-smartphones-and-wearables-in-first-half-2017/. Accessed 13 Sept 2018.
Haesner, M., Wolf, S., Steinert, A., & Steinhagen-Thiessen, E. (2018). Touch interaction with Google glass – Is it suitable for older adults? International Journal of Human-Computer Studies, 110, 12–20. https://doi.org/10.1016/j.ijhcs.2017.09.006.
International Data Corporation [IDC]. (2018). Smartwatches to have more than just fifteen minutes of fame, according to IDC. https://www.idc.com/getdoc.jsp?containerId=prUS43642518. Accessed 11 Sept 2018.
Kappen, D., Mirza-Babaei, P., & Nacke, L. (2018). Gamification of older adults’ physical activity: An eight-week study. In T. Bui (Ed.), Proceedings of the annual Hawaii international conference on system sciences. Hawaii.
Kelders, S. M., & Howard, M. (2018). Opportunities of technology to promote health and well-being. In L. van Gemert-Pijnen, R. Sanderman, S. M. Kelders, & K. Hanneke (Eds.), EHealth research, theory and development: A multi-disciplinary approach. London: Taylor & Francis.
Kramer, U., & Lucht, M. (2015). Gesundheits- und Versorgungs-Apps: Hintergründe zu deren Entwicklung und Einsatz. Resource document. http://Gesundheits-undVersorgungs-Apps.pdf. Accessed 6 Sept 2018.
Kutzin, J. M., Milligan, Z., & Chawla, S. (2017). Using simulation to conduct a usability study of wearable technology. Clinical Simulation in Nursing, 13(2), 64–70. https://doi.org/10.1016/j.ecns.2016.12.003.
Lukowicz, P., Kirstein, T., & Tröster, G. (2004). Wearable systems for health care applications. Methods of Information in Medicine, 43(3), 232–238.
Maher, C., Ryan, J., Ambrosi, C., & Edney, S. (2017). Users’ experiences of wearable activity trackers: A cross-sectional study. BMC Public Health, 17(1), 880. https://doi.org/10.1186/s12889-017-4888-1.
Malwade, S., Abdul, S. S., Uddin, M., Nursetyo, A. A., Fernandez-Luque, L., Zhu, X., Cilliers, L., etal. (2018). Mobile and wearable technologies in healthcare for the ageing population. Computer Methods and Programs in Biomedicine, 161, 233–237. https://doi.org/10.1016/j.cmpb.2018.04.026.
Meng, Y., Choi, H.-K., & Hee-Cheol, K. (2011). Exploring the user requirements for wearable healthcare systems. In 13th International Conference on e-Health Networking, Applications and Services (Ed.), Healthcom 2011 (pp. 74–77). South Korea.
Mischak, R. (2017). Wearables als Herausforderung im Gesundheitswesen – Revolutionieren Wearables das Gesundheitswesen im 21. Jahrhundert? In M. A. Pfannstiel, P. Da-Cruz, & H. Mehlich (Eds.), Digitale Transformation von Dienstleistungen im Gesundheitswesen I. Wiesbaden: Springer Fachmedien Wiesbaden.
Moll, R., Schulze, A., Rusch-Rodosthenous, M., Kunke, C., & Scheibel, L. (2017). Wearables, Fitness-Apps und der Datenschutz: Alles unter Kontrolle? Eine Untersuchung der Verbraucherzentralen – April 2017. https://www.marktwaechter.de/sites/default/files/downloads/mw-untersuchung_wearables_0.pdf. Accessed 6 Sept 2018.
Niegemann, H., & Niegemann, L. (2018). Design digitaler Aus- und Weiterbildungsszenarien. In O. Thomas, D. Metzger, & H. Niegemann (Eds.), Digitalisierung in der Aus- und Weiterbildung (pp. 75–91). Berlin/Heidelberg: Springer Berlin Heidelberg.
Oh, H., Rizo, C., Enkin, M., & Jadad, A. (2005). What is eHealth? A systematic review of published definitions. World Hospitals and Health Services: The Official Journal of the International Hospital Federation, 41(1), 32–40.
Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. PLoS Medicine, 13, e1001953. https://doi.org/10.1371/journal.pmed.1001953.
PricewaterhouseCoopers AG Wirtschaftsprüfungsgesellschaft [PwC]. (2015). Media Trend Outlook Wearables: Die tragbare Zukunft kommt näher. Resource document. PwC. https://www.pwc.at/de/images/tmt-studie-3.pdf. Accessed 19 Sept 2018.
Ransdell, L. B., Robertson, L., Ornes, L., & Moyer-Mileur, L. (2004). Generations exercising together to improve fitness (GET FIT): A pilot study designed to increase physical activity and improve health-related fitness in three generations of women. Women & Health, 40(3), 77–94.
Rügge, I. (2008). Wege und Irrwege der Mensch-Maschine-Kommunikation beim Wearable Computing. In H. D. Hellige (Ed.), Mensch-Computer-Interface. Zur Geschichte und Zukunft der Computerbedienung (pp. 199–234). Bielefeld: Transcript Verlag.
Scheel, O. (2013). Mobile health: Mirage or growth opportunity? Mobile Health, (30), 1–28. https://www.atkearney.com/documents/10192/3981820/Mobile-Health.pdf/422e1663-0c16- 4c3d-afa4-ad7be0293dc8
Schumacher, F. (2016). Von Quantified Self zur Gesundheit der Zukunft. In V. P. Andelfinger & T. Hänisch (Eds.), eHealth (pp. 39–51). Wiesbaden: Springer Fachmedien Wiesbaden.
Schwartz, B., & Baca, A. (2016). Wearables and apps – Modern diagnostic frameworks for health promotion through sport. Deutsche Zeitschrift Für Sportmedizin, 16(06), 131–136.
Seyrkammer, S. (2015). Wearable Computing Technology: Potenzielle Einsatzmöglichkeiten in der Industrie (1. Erstauflage). Hamburg: Diplomica Verlag.
Steinert, A., Wegel, S., & Steinhagen-Thiessen, E. (2015a). Selbst-Monitoring der physischen Aktivität von Senioren. HeilberufeSCIENCE, 6(4), 115–120.
Steinert, A., Haesner, M., Tetley, A., & Steinhagen-Thiessen, E. (2016). Self-Monitoring of Health-Related Goals in Older Adults with Use of a Smartphone Application. Activities, Adaptation & Aging, 40(2), 81--92. https://doi.org/10.1080/01924788.2016.1158569
Steinert, A., Buchem, I., Merceron, A., Kreutel, J., & Haesner, M. (2018a). A wearable-enhanced fitness program for older adults, combining fitness trackers and gamification elements: The pilot study fMOOC@home. Sport Sciences for Health, 14(2), 275–282.
Steinert, A., Haesner, M., Tetley, A., & Steinhagen-Thiessen, E. (2015b). Nutzungsverhalten einer Gesundheitsapplikation zum Selbstmonitoring von Senioren. Prävention Und Gesundheitsförderung, 10(4), 281–286.
Steinert, A., Buchem, I., Merceron, A., Kreutel, J., & Haesner, M. (2018a). A wearable-enhanced fitness program for older adults, combining fitness trackers and gamification elements: The pilot study fMOOC@home. Sport Sciences for Health, 14(2), 275–282.
Steinert, A., Haesner, M., & Steinhagen-Thiessen, E. (2018b). Activity-tracking devices for older adults: Comparison and preferences. Universal Access in the Information Society, 17(2), 411–419.
Tedesco, S., Barton, J., & O’Flynn, B. (2017). A review of activity trackers for senior citizens: Research perspectives, commercial landscape and the role of the insurance industry. Sensors, 17(6), 1277.
Thomas, O., Metzger, D., & Niegemann, H. (2018). Digitalisierung in der Aus- und Weiterbildung. Berlin/Heidelberg: Springer Berlin Heidelberg.
Transparency Market Research. (2018). mHealth Market. https://www.transparencymarketresearch.com/pressrelease/mhealth-market.html. Accessed 19 Sept 2018.
United Nations. (2015). World population ageing 2015 highlights: Highlights. https://www.ibs.it/world-population-ageing-2015-highlights-libro-inglese-united-nations-department-of-economic-and-social-affairs-population-division-united-nations-department-of-economic-and-social-affairs-population-division/e/9789211515381. Accessed 13 Sept 2018.
VanWormer, J. J., Martinez, A. M., Martinson, B. C., Crain, A. L., Benson, G. A., Cosentino, D. L., & Pronk, N. P. (2009). Self-weighing promotes weight loss for obese adults. American Journal of Preventive Medicine, 36(1), 70–73.
World Health Organization. (2011). New horizons for health through mobile technologies: Second global survey on eHealth. http://gbv.eblib.com/patron/FullRecord.aspx?p=851142. Accessed 10 Sept 2018.
Zobel, B., Berkemeier, L., Werning, S., & Thomas, O. (2016). Augmented Reality am Arbeitsplatz der Zukunft: Ein Usability-Framework für Smart Glasses. In H. C. Mayr & M. Pinzger (Eds.), GI-Edition Lecture notes in informatics. Proceedings. Klagenfurt.
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Klebbe, R., Steinert, A., Müller-Werdan, U. (2019). Wearables for Older Adults: Requirements, Design, and User Experience. In: Buchem, I., Klamma, R., Wild, F. (eds) Perspectives on Wearable Enhanced Learning (WELL). Springer, Cham. https://doi.org/10.1007/978-3-319-64301-4_15
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