Skip to main content
  • 1260 Accesses

Abstract

Advances in Information Technologies have propelled the development of a diversity of solutions to assist aging. These range from service robots that help older adults perform activities of daily living to monitoring systems for early detection of clinical conditions such as frailty or dementia. The evaluation of these technologies imposes several challenges, due to issues such as the risk inherent in evaluating health outcomes and the nature of emerging technologies that could be unreliable, might be used at unpredictable periods of time, and support implicit interactions, that is, the technology is not at the center of attention of the user, but rather it peripherally supports the task at hand. This chapter describes some of these challenges, exemplified with different assistive technologies and shows how they can be evaluated at different stages of development. In addition, we describe how emerging computing technology can be used to support clinical research on aging. In particular, we show how mobile computing systems can be used to monitor clinical variables and health outcomes in interventions for aging. We illustrate the potential for these technologies with an example of a monitoring platform for mobile phones that can be used to measure parameters associated with frailty, and a videogame that uses a natural user interface to measure muscle strength while the user focuses on playing, and can be used for early detection of sarcopenia.

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

Access this chapter

Institutional subscriptions

References

  1. Favela J, Castro LA, Franco-Marina F, Sánchez-García S, Juárez-Cedillo T, Espinel Bermudez C et al (2013) Nurse home visits with or without alert buttons versus usual care in the frail elderly: a randomized controlled trial. Clin Interv Aging 8:85–95

    PubMed Central  PubMed  Google Scholar 

  2. Castro LA, Favela J, Garcia-Peña C (2011) Naturalistic enactment to stimulate user experience for the evaluation of a mobile elderly care application. In: Proceedings of the 13th international conference on human computer interaction with mobile devices and services (MobileHCI 2011), Stockholm, 2037430. ACM, pp 371–380

    Google Scholar 

  3. Briggs JK (2002) Telephone triage protocols for nurses. Lippincott Williams & Wilkins, Philadelphia

    Google Scholar 

  4. Larson EC, Lee T, Liu S, Rosenfeld M, Patel SN (eds) (2011) Accurate and privacy preserving cough sensing using a low-cost microphone. In: Proceedings of the 13th international conference on ubiquitous computing (Ubicomp 2011), Beijing. ACM, New York

    Google Scholar 

  5. Lu H, Frauendorfer D, Rabbi M, Mast MS, Chittaranjan GT, Campbell AT et al (2012) StressSense: detecting stress in unconstrained acoustic environments using smartphones. In: Proceedings of the 2012 ACM conference on ubiquitous computing (Ubicomp 2012), Pittsburgh, 2370270. ACM, pp 351–360

    Google Scholar 

  6. Dong W, Lepri B, Pentland A (2011) Modeling the co-evolution of behaviors and social relationships using mobile phone data. In: Proceedings of the 10th international conference on mobile and ubiquitous multimedia (MUM 2011), 7–9 Dec 2011, Beijing, 2107613. ACM, pp 134–143

    Google Scholar 

  7. Fahrenberg J, Myrtek M, Pawlik K, Perrez M (2007) Ambulatory assessment – monitoring behavior in daily life settings: a behavioral-scientific challenge for psychology. Eur J Psychol Assess 23(4):206

    Article  Google Scholar 

  8. Beltran J, Navarro R, Chavez E, Favela J, Soto V, Ibarra C (2014) Detecting disruptive vocalizations for ambient assisted interventions for dementia. In: Pecchia L, Chen LL, Nugent C, Bravo J (eds) Ambient assisted living and daily activities. Springer International Publishing, Switzerland, pp 356–363

    Google Scholar 

  9. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J et al (2001) Frailty in older adults evidence for a phenotype. J Gerontol A Biol Sci Med Sci 56(3):M146–M157

    Article  CAS  PubMed  Google Scholar 

  10. Rockwood K, Fox RA, Stolee P, Robertson D, Beattie BL (1994) Frailty in elderly people: an evolving concept. Can Med Assoc J 150(4):489

    CAS  Google Scholar 

  11. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K (2013) Frailty in elderly people. Lancet 381(9868):752–762

    Article  PubMed  Google Scholar 

  12. Perez M, Castro LA, Favela J (2011) InCense: a research kit to facilitate behavioral data gathering from populations of mobile phone users. In: Proceedings of the 5th international symposium of ubiquitous computing and ambient intelligence (UCAmI 2011), 5–9 Dec 2011, Riviera Maya

    Google Scholar 

  13. Castro LA, Favela PJ, Quintana E, Perez M (2015) Behavioral data gathering for assessing functional status and health in older adults using mobile phones. Pers Ubiquit Comput 19:379–391

    Article  Google Scholar 

  14. Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW (1963) Studies of illness in the aged: the index of ADL: a standardized measure of biological and psychosocial function. JAMA 185(12):914–919

    Article  CAS  PubMed  Google Scholar 

  15. Ware JE, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36): conceptual framework and item selection. Med Care 30:473–483

    Article  PubMed  Google Scholar 

  16. Rubenstein LZ, Harker JO, Salva A, Guigoz Y, Vellas B (2001) Screening for undernutrition in geriatric practice: developing the Short-Form Mini Nutritional Assessment (MNA-SF). J Gerontol 56A:M366–M377

    Article  Google Scholar 

  17. Hallal P, Gómez LF, Parra D (2007) Lecciones aprendidas después de 10 Años del uso de IPAQ en Brasil y Colombia. J Phys Act Health 7(Suppl 2):S259–S264

    Google Scholar 

  18. Roper WL, Baker EL, Dyal WW, Nicola RM (1992) Strengthening the public health system. Public Health Rep 107:609–615

    CAS  PubMed Central  PubMed  Google Scholar 

  19. Schenk AK, Witbrodt BC, Hoarty CA, Carlson RH, Goulding EH, Potter JF et al (2011) Cellular telephones measure activity and lifespace in community-dwelling adults: proof of principle. J Am Geriatr Soc 59(2):345–352

    Article  PubMed Central  PubMed  Google Scholar 

  20. Xue QL, Fried LP, Glass TA, Laffan A, Chaves PH (2008) Life-space constriction, development of frailty, and the competing risk of mortality: the Women’s Health and Aging Study I. Am J Epidemiol 167:240–248

    Article  PubMed  Google Scholar 

  21. Peel C, Baker PS, Roth DL, Brown CJ, Bodner EV, Allman RM (2005) Assessing mobility in older adults: the UAB Study of Aging Life-Space Assessment. Phys Ther 85(10):1008–1019

    PubMed  Google Scholar 

  22. Newman AB, Kupelian V, Visser M, Simonsick EM, Goodpaster BH, Kritchevsky SB et al (2006) Strength, but not muscle mass, is associated with mortality in the health, aging and body composition study cohort. J Gerontol A Biol Sci Med Sci 61(1):72–77

    Article  PubMed  Google Scholar 

  23. Goodpaster BH, Park SW, Harris TB, Kritchevsky SB, Nevitt M, Schwartz AV et al (2006) The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. J Gerontol A Biol Sci Med Sci 61(10):1059–1064

    Article  PubMed  Google Scholar 

  24. Theou O, Jones GR, Overend TJ, Kloseck M, Vandervoort AA (2008) An exploration of the association between frailty and muscle fatigue. Appl Physiol Nutr Metab 33(4):651–665

    Article  PubMed  Google Scholar 

  25. Avlund K, Damsgaard MT, Sakari-Rantala R, Laukkanen P, Schroll M (2002) Tiredness in daily activities among nondisabled old people as determinant of onset of disability. J Clin Epidemiol 55(10):965–973

    Article  PubMed  Google Scholar 

  26. Schultz-Larsen K, Avlund K (2007) Tiredness in daily activities: a subjective measure for the identification of frailty among non-disabled community-living older adults. Arch Gerontol Geriatr 44(1):83–93

    Article  PubMed  Google Scholar 

  27. Avlund K, Vass M, Hendriksen C (2003) Onset of mobility disability among community-dwelling old men and women. The role of tiredness in daily activities. Age Ageing 32(6):579–584

    Article  PubMed  Google Scholar 

  28. Dittner AJ, Wessely SC, Brown RG (2004) The assessment of fatigue: a practical guide for clinicians and researchers. J Psychosom Res 56(2):157–170

    Article  CAS  PubMed  Google Scholar 

  29. Bautmans I, Mets T (2005) A fatigue resistance test for elderly persons based on grip strength: reliability and comparison with healthy young subjects. Aging Clin Exp Res 17(3):217–222

    Article  PubMed  Google Scholar 

  30. Soo Y, Sugi M, Yokoi H, Arai T, Kato R, Ota J (2012) Quantitative estimation of muscle fatigue on cyclic handgrip tasks. Int J Ind Ergon 42(1):103–112

    Article  Google Scholar 

  31. Zavala-Ibarra I, Favela J (eds) (2012) Ambient videogames for health monitoring in older adults. In: Proceedings of the 8th international conference on intelligent environments (IE 2012), 26–29 June 2012, Guanajuato. IEEE

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jesús Favela .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Favela, J., Castro, L.A. (2015). Technology and Aging. In: García-Peña, C., Gutiérrez-Robledo, L., Pérez-Zepeda, M. (eds) Aging Research - Methodological Issues. Springer, Cham. https://doi.org/10.1007/978-3-319-18323-7_11

Download citation

Publish with us

Policies and ethics