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Designing and Introducing an Activity Motivating Mobile Web App Platform for Seniors

  • Christian Lins
  • Melina Frenken
  • Luca Halder
  • Andreas Hein
Chapter
Part of the Advanced Technologies and Societal Change book series (ATSC)

Abstract

In this paper, we present results from the VERA project regarding design, usability, and motivation for long-term usage of a mobile web app platform that encourages physical and mental activity. The system is designed for elderly inhabitants of senior residences to motivate them to increase their physical and mental activity in everyday life. Activities can be logged in five different categories: everyday activities, endurance, strength, mental, and special activities. The data of a residential home and an assisted living facility and a total of 29 users were analyzed. The results show insight view about the usage and suggest that accompanying help can improve the long-term sustainability of the motivating effect.

Keywords

Motivation Aged people Tablet Activity Web app Seniors 

Notes

Acknowledgments

This work was funded by the German Ministry for Education and Research (BMBF) within the research project VERA (grant 16SV6204). The authors would l ike to thank all participants and volunteers contributing to the VERA project.

References

  1. 1.
    Buchman, A.S., Boyle, P.A., Wilson, R.S., Fleischman, D.A., Leurgans, S., Bennett, D.A.: Association between late-life social activity and motor decline in older adults. Arch. Intern. Med. 169(12), 1139–1146 (2009)CrossRefGoogle Scholar
  2. 2.
    de Jong, J., Lemmink, K.A., Stevens, M., de Greef, M.H., Rispens, P., King, A.C., Mulder, T.: Six-month effects of the Groningen active living model (GALM) on physical activity, health and fitness outcomes in sedentary and underactive older adults aged 55–65. Patient Educ. Couns. 62(1), 132–141 (2006)CrossRefGoogle Scholar
  3. 3.
    Löllgen, H., Böckenhoff, A., Knapp, G.: Physical activity and all-cause mortality: an updated meta-analysis with different intensity categories. Int. J. Sports Med. 30(03), 213–224 (2009)CrossRefGoogle Scholar
  4. 4.
    Oerlemans, W.G., Bakker, A.B., Veenhoven, R.: Finding the key to happy aging: a day reconstruction study of happiness. J. Gerontol. Ser. B: Psychol. Sci. Soc. Sci. 66B(6), 665–674 (2011). doi: 10.1093/geronb/gbr040
  5. 5.
    Stefanos, N., Vergados, D.D., Anagnostopoulos, I.: Health care information systems and personalized services for assisting living of elderly people at nursing home. In: Third International Workshop on Semantic Media Adaptation and Personalization. SMAP’08, pp. 122–127. IEEE (2008)Google Scholar
  6. 6.
    Titze, S., Ring-Dimitriou, S., Schober, P., Halbwachs, C., Samitz, G., Miko, H., Lercher, P., Stein, K., Gäbler, C., Bauer, R., Gollner, E., Windhaber, J., Bachl, N., Dorner, T.: A. K. A. der Österreichischen Gesellschaft für Public Health. Österreichische Empfehlungen für gesundheitswirksame Bewegung, Bundesministerium für Gesundheit Österreich (2010)Google Scholar
  7. 7.
    Warburton, D.E., Nicol, C.W., Bredin, S.S.: Health benefits of physical activity: the evidence. Can. Med. Assoc. J. 174(6), 801–809 (2006)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Christian Lins
    • 1
  • Melina Frenken
    • 2
  • Luca Halder
    • 3
  • Andreas Hein
    • 4
  1. 1.OFFIS - Institute for Information TechnologyOldenburgGermany
  2. 2.Jade University of Applied SciencesOldenburgGermany
  3. 3.Bremer HeimstiftungBremenGermany
  4. 4.Carl von Ossietzky University OldenburgOldenburgGermany

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