Skip to main content

Normal versus Pathological Cognitive Aging: Variability as a Constraint of Patients Profiling for AmI Design

  • Conference paper
Book cover Bio-Inspired Systems: Computational and Ambient Intelligence (IWANN 2009)

Abstract

The development of supportive environments and Assistive Technology (AT) is a priority recommended by the International Plan of Action on Ageing (Madrid 2002). The first essential matter related to the creation and implementation of a certain Ambient Intelligence (AmI) system is to know for whom it have to be designed, in order to meet user’s profile and needs with the functional capabilities of the intelligent and semi-autonomous assistive device, and to identify the best ways of human-machine interaction. The multiple dimensions of cognitive variability in the elderly make these tasks very difficult. A comparative overview of the cognitive changes in normal and pathological aging could be useful in order to deal with the cognitive variability constraint in the establishment of user profiles and target populations.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cadena, C.: Assistive Technology and the Impact on Senior Adults, Associated Content (2006), http://www.associatedcontent.com/article/81295/assistive_technology_and_the_impact.html?cat=12

  2. Riva, G., Loreti, P., Lunghi, M., Vatalaro, F., Davide, F.: Presence 2010: The Emergence of Ambient Intelligence. In: Riva, G., Davide, F., Jssel-steijn, W.A.I. (eds.) Being There: Concepts, effects and measurement of user presence in synthetic environments, pp. 59–82. Ios Press, Amsterdam (2003)

    Google Scholar 

  3. Fuentes, L., Jimenez, D.: An Aspect-Oriented Ambient Intelligence Middleware Platform. In: Proceedings of 3rd International Workshop on Middleware for Pervasive and Ad-Hoc Computing (MPAC 2005), Grenoble, France (2005), http://portal.acm.org/citation.cfm?id=1101482

  4. Fuentes, L., Jiménez, D.: Combining Components, Aspects, Domain Specific Languages and Product Lines for Ambient Intelligent Application Development. In: Pfeifer, T., et al. (eds.) Advances in Pervasive Computing 2006, Adjunct Proceedings of Pervasive 2006, Dublin (2006), http://www.pervasive2006.org/ap/pervasive2006_adjunct_4I.pdf

  5. Casas, R., Blasco Marín, R., Robinet, A., Delgado, A.R., Yarza, A.R., McGinn, J., Picking, R., Grout, V.: User modelling in ambient intelligence for elderly and disabled people. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 114–122. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. SHARE-it (Supported Human Autonomy for Recovery and Enhancement of cognitive and motor abilities using information technologies), FP6-2006-IST-6 project Nr. 045088, http://www.ist-shareit.eu/shareit

  7. Horn, J.L.: A context for understanding information processing studies of human abilities. In: Vernon, P.A. (ed.) Speed of information processing and intelligence, pp. 201–238. Ablex, Norwood, NJ (1987)

    Google Scholar 

  8. Glisky, E.L.: Changes in cognitive function in human aging. In: Riddle, D.R. (ed.) Brain aging. Models, methods, and mechanisms. Frontiers in Neurosciences series, CRC Press, Boca Raton (2006), http://www.neurosciencenetbase.com/ejournals/books

    Google Scholar 

  9. Christensen, H.: What cognitive changes can be expected with normal aging? J. Psychiatry 35, 768–775 (2001)

    Google Scholar 

  10. Salthouse, T.A.: Interrelations of aging, knowledge, and cognitive performance. In: Staudinger, U.M., Lindenberger, U. (eds.) Understanding human development: dialogues with lifespan psychology, Kluwer Academic Publishers, Dordrecht (2003)

    Google Scholar 

  11. Greenwood, P.M.: The frontal aging hypothesis evaluated. J. Int. Neuropsychol. Soc. 6, 705–726 (2000)

    Article  Google Scholar 

  12. Anstey, K.J., Low, L.-F.: Normal cognitive changes in aging. Australian Family Physician 33(10), 783–787 (2004)

    Google Scholar 

  13. MacDonald, S.W.S., Nyberg, L., Bäckman, L.: Intra-individual variability in behavior: links to brain structure, neurotransmission and neuronal activity. Trends in Neurosciences 29(8), 474–480 (2006)

    Article  Google Scholar 

  14. Li, S.-C., Aggen, S.H., Nesselroade, J.R., Baltes, P.B.: Short-Term Fluctuations in Elderly People’s Sensorimotor Functioning Predict Text and Spatial Memory Performance: The MacArthur Successful Aging Studies. Gerontology 47, 100–116 (2001)

    Article  Google Scholar 

  15. Strauss, E., MacDonald, S.W.S., Hunter, M., Moll, A., Hultsch, D.F.: Intraindividual variability in cognitive performance in three groups of older adults: Cross-domain links to physical status and self-perceived affect and beliefs. Journal of the International Neuropsychological Society 8(7), 893–906 (2002)

    Article  Google Scholar 

  16. Hilborn, J.V., Strauss, E., Hultsch, D.F., Hunter, M.A.: Intraindividual variability across cognitive domains: Investigation of dispersion levels and performance profiles in older adults. Journal of Clinical and Experimental Neuropsychology (2008), http://www.informaworld.com/smpp/content~content=a901492159~db=all

  17. Budde, S.H., Barkowsky, T.: A Framework for Individual Cognitive Performance Assessment in Real-time for Elderly Users. In: AAAI 2008, Chicago, USA (2008), http://www.ist-share-it.eu/shareit/Members/admin/posterAAAI2008_BuddeBarkowsky.pdf

  18. McDonald, J.M., Craik, F.I.M.: Effects of aging and task difficulty on divided attention performance. J. Exp. Psychol. Hum. Perc. Perf. 14, 267 (1988)

    Article  Google Scholar 

  19. Colcombe, S., Kramer, A.F.: Fitness effects on cognitive function of older adults: a meta-analytic study. Psychol. Sci. 14, 125 (2003)

    Article  Google Scholar 

  20. Myers, G.C., Lamb, V.L., Agree, E.M.: Patterns of Disability Change Associated with the Epidemiologic Transition. In: Robine, J.M., Jagger, C., Mathers, C.D., Crimmins, E.M., Suzman, R.M. (eds.) Determining Health Expectancies, John Wiley & Sons, Ltd., Chichester (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Spiru, L. et al. (2009). Normal versus Pathological Cognitive Aging: Variability as a Constraint of Patients Profiling for AmI Design. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_145

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02478-8_145

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02477-1

  • Online ISBN: 978-3-642-02478-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics