Mobile Web Service Infrastructure Supporting Successful Aging

  • Marc Jansen
  • Oliver Koch
  • Michael Schellenbach
Part of the Communications in Computer and Information Science book series (CCIS, volume 393)


One of the most stressing challenges in our culture is the demographic change. On the one hand, people become older and older, at the same time less young people are available in order to support the elderly. Currently, this fact already provides a number of social impacts that need to be solved in the near future. This paper concentrates on the integration of mobile devices in scenarios that allow elderly people to age successfully. Here, the term “aging successfully” refers to broad range of aspects from health to social life of elderly people. A special focus of this paper lies in the question whether services deployed to a mobile device provide advantages in the area of aging successfully. In order to answer this question, both technical challenges are explained and solved by example architectures, and scenarios that benefit from services deployed to mobile devices are explained.


mobile devices ageing web services sensing mobile web service 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Baltes, P.B.: Theoretical propositions of lifespan developmental psychology: on the dynamics between growth and decline. Developmental Psychology 23(5), 611–626 (1987)CrossRefGoogle Scholar
  2. 2.
    Kramer, A.F., Willis, S.L.: Enhancing the cognitive vitality of older adults. Current Directions in Psychological Science 11(5), 173–177 (2002)CrossRefGoogle Scholar
  3. 3.
    Ball, K., Berch, D., Helmers, K., Jobe, J., Leveck, M., Marsiske, M.: Effects of cognitive training interventions with older adults - a randomized controlled trial. JAMA 288(18), 2271–2281 (2002)CrossRefGoogle Scholar
  4. 4.
    Erickson, K.I., Colcombe, S.J., Wadhwa, R., Bherer, L., Peterson, M.S., Scalf, P.E., Kim, J.S., Alvarado, M., Kramer, A.F.: Training-induced plasticity in older adults: Effects of training on hemispheric asymmetry. Neurobiology of Aging 28(2), 272–283 (2007)CrossRefGoogle Scholar
  5. 5.
    Hong, J., Suh, E., Kim, S.: Context-aware systems: A literature review and classification. Expert Systems with Applications 36(4), 8509–8522 (2009)CrossRefGoogle Scholar
  6. 6.
    Fielding, R.T., Taylor, R.N.: Architectural styles and the design of network-based software architectures, University of California, Irvine (2000)Google Scholar
  7. 7.
    Curbera, F., Duftler, M., Khalaf, R., Nagy, W., Mukhi, N., Weerawarana, S.: Unraveling the Web Services Web: An Introduction to SOAP, WSDL, and UDDI. IEEE Internet Computing 6(2), 86–93 (2002)CrossRefGoogle Scholar
  8. 8.
    Svensson, D.: Assemblies of Pervasive Services. Dept. of Computer Science, Institutional Repository – Lund University (2009)Google Scholar
  9. 9.
    Jansen, M.: Evaluation of an Architecture for Providing Mobile Web Services. International Journal on Advances in Internet Technology 6(1&2), 32–41 (2013)Google Scholar
  10. 10.
    Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Pattern – Elements of Reusable Object-Oriented Software. Addison-Wesley (1995)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marc Jansen
    • 1
  • Oliver Koch
    • 1
  • Michael Schellenbach
    • 1
  1. 1.Computer Science InstituteUniversity of Applied Sciences Ruhr WestBottropGermany

Personalised recommendations