Skip to main content

Advertisement

Log in

Assistive Technology to Support the Mobility of Senior Citizens

Overcoming Mobility Barriers and Establishing Mobility Chains by Social Collaboration

  • Research Project
  • Published:
KI - Künstliche Intelligenz Aims and scope Submit manuscript

Abstract

Maintaining mobility despite the bodily, mental, or monetary challenges which often come along with advanced age is a relevant aspect of the quality of live. The collaborative research project EMN-Moves provides assistive technology for initiating and coordinating mobility support in residential districts. Mobility support is seen as a social task involving the interplay of housing societies, social organisations and residents of different age groups—with and without special needs. The project focuses on two aspects: (1) a Geo-Wiki for documenting temporary mobility barriers and for generating proposals for alternative routes, (2) a matchmaking service for bringing together (elderly) people who need support with volunteers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. Josef-Stifung Bamberg, GewoBau Erlangen, WBG Nürnberg.

  2. http://rubyonrails.org/.

  3. OpenStreetMap, http://www.openstreetmap.org/.

References

  1. Banerjee N, Chakraborty D, Dasgupta K, Mittal S, Nagar S et al. (2009) R-U-In?-exploiting rich presence and converged communications for next-generation activity-oriented social networking. In: Tenth International conference on mobile data management: systems, services and middleware (MDM’09). IEEE Press, New York, pp 222–231

    Chapter  Google Scholar 

  2. Berle L (2012) Matching natural language activity descriptions by using self-expanding ontologies—an application to support mobility of elderly people. Bachelor thesis, Faculty Information Systems and Applied Computer Science, University of Bamberg

  3. Cortes U, Barrue C, Martinez AB, Urdiales C, Campana F, Annicchiarico R, Caltagirone C (2010) Assistive technologies for the new generation of senior citizens—the SHARE-it approach. Int J Comput Health 1(1):35–65

    Article  Google Scholar 

  4. Czaja S, Lee C (2004) Designing computer systems for older adults. Erlbaum, Hillsdale

    Google Scholar 

  5. Fenza G, Loia V, Senatore S (2008) A hybrid approach to semantic web services matchmaking. Int J Approx Reason 48(3):808–828

    Article  Google Scholar 

  6. Flanagin A, Metzger M (2008) The credibility of volunteered geographic information. GeoJournal 72(3):137–148

    Article  Google Scholar 

  7. Gagliardi C, Marcellini F, Papa R, Giuli C, Mollenkopf H (2010) Associations of personal and mobility resources with subjective well-being among older adults in Italy and Germany. Arch Gerontol Geriatr 50:42–47

    Article  Google Scholar 

  8. Goodchild M (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69(4):211–221

    Article  Google Scholar 

  9. Haklay M (2010) How good is volunteered geographical information? A comparative study of openstreetmap and ordnance survey datasets. Environ Plan B, Plan Des 37(4)

  10. Hanson VL (2009) Age and web access: the next generation. In: Proceedings of the 2009 international cross-disciplinary conference on web accessibility (W4A). ACM, New York, pp 7–15

    Chapter  Google Scholar 

  11. Haustein S, Kemming H (2008) Subjektive Sicherheit von Senioren im Straßenverkehr. Z Verk.sicherh 54(3):128–133

    Google Scholar 

  12. Martins MM, Santos CP, Frizera-Neto A, Ceres R (2012) Assistive mobility devices focusing on smart walkers: classification and review. Robot Auton Syst 60(4):548–562

    Article  Google Scholar 

  13. Mollenkopf H (2005) Enhancing mobility in later life: personal coping, environmental resources and technical support, the out-of-home mobility of older adults in urban and rural regions of five European countries. Ios Press, Lansdale

    Google Scholar 

  14. Morenoa A, Vallsa A, Iserna D, Marina L, Borrásb J (2013) Sigtur/e-destination: ontology-based personalized recommendation of tourism and leisure activities. Eng Appl Artif Intell 26(1):633–651

    Article  Google Scholar 

  15. Munz M, Stein K, Sticht M, Schmid U (2012) Matchmaking: how similar is what I want to what I get? In: 1st international workshop on similarity and analogy-based methods in AI (SAMAI), Toulouse, pp 13–18. Rapport interne IRIT/RR

    Google Scholar 

  16. Pollack M (2005) Intelligent technology for an aging population: the use of AI to assist elders with cognitive impairment. AI Mag 26(2):9–24

    Google Scholar 

  17. Priedhorsky R (2010) The value of geographic Wikis. PhD thesis, University of Minnesota

  18. Raman R, Livny M, Solomon M (1998) Matchmaking: distributed resource management for high throughput computing. In: Proceedings of the seventh international symposium on high performance distributed computing,. IEEE Press New York, pp 140–146

    Google Scholar 

  19. Roche S, Mericskay B, Batita W, Bach M, Rondeau M (2012) Wikigis basic concepts: web 2.0 for geospatial collaboration. FutureManag-Update 4(1):265–284

    Google Scholar 

  20. Scheffer AC, Schuurmans MJ, van Dijk N, van der Hooft T, de Rooij SE (2008) Fear of falling: measurement strategy, prevalence, risk factors and consequences among older persons. Age Ageing 37(1):19–24

    Article  Google Scholar 

  21. Scheiner J (2006) Does the car make elderly people happy and mobile? Settlement structures, car availability and leisure mobility of the elderly. Eur J Transp Infrastruct Res 6(2):151–172

    Google Scholar 

  22. Stein K, Schlieder C (2013) A geowiki for participatory mobility. In: Steenberghen T, et al. (eds) Proc. 16th AGILE int. conf. on geographic information science. Digital proceedings. http://agile.gis.geo.tudresden.de/web/index.php/conference/conference-2013

    Google Scholar 

  23. Subasi O, Reithner E (2012) Needs & motivations of senior travelers for AAL. In: Proceedings of the 5th international conference on pervasive technologies related to assistive environments (PETRA’12). ACM, New York, pp 11:1–11:4

    Google Scholar 

  24. van Dyk T, Renaud K, van Biljon J (2012) Moses—method for selecting senior mobile phones: supporting design and choice for the elderly. In: Proceedings of the South African institute for computer scientists and information technologists conference (SAICSIT’12). ACM, New York, pp 277–285

    Google Scholar 

  25. Whitty MT, Baker AJ, Inman JA (eds) (2007) Online matchmaking. Palgrave Macmillan, Basingstoke

    Google Scholar 

Download references

Acknowledgements

We thank Lukas Berle and Jürgen Gegenfurtner who supported the implementation of our system in the context of their bachelor theses. Furthermore, we thank members of the senior citizen councils of Bamberg, Erlangen, and Nürmberg for helpful discussions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ute Schmid.

Additional information

This work is funded by BMBF grant 16SV5700K (Technology and Innovation), Cooperation project “Europäische Metropolregion Nürnberg macht mobil durch technische und soziale Innovationen für die Menschen in der Region” (EMN-MOVES).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schlieder, C., Schmid, U., Munz, M. et al. Assistive Technology to Support the Mobility of Senior Citizens. Künstl Intell 27, 247–253 (2013). https://doi.org/10.1007/s13218-013-0254-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13218-013-0254-3

Keywords

Navigation