Skip to main content

Do Technology-Related Stimuli Affect Age Estimation?

  • Conference paper
  • First Online:
Ambient Assisted Living. ICT-based Solutions in Real Life Situations (IWAAL 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9455))

Included in the following conference series:

Abstract

The potential for ubiquitous ambient technology to assist older adults to sustain an active life, raises questions about whether this can bring transformational effects for users including those related to modifying ageing perception. We aim to investigate the effects that technology related priming has in the perception of ageing via age estimation. Sixty participants, exposed to technology, ageing and neutral related stimuli, were asked to perform a priming activity and to estimate the age of a set of persons depicted in different photographs. We found that neither the estimation of the participants from ‘Technology’ nor ‘Ageing’ group differ from the estimation of participants from the ‘Neutral’ group. Evidence suggests that exposing participants to technology concepts by itself does not alter age perception. However, previous works show that the usage of technology can modify ageing perception. Therefore, we define a longitudinal second experiment in which we will provide different devices to older adults for them to use and through qualitative methods study this phenomenon.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Notes

  1. 1.

    www.amipci.org.mx/estudios/habitos_de_internet/2007_Habitos_Usuarios_Internet_Mx-1.pdf.

  2. 2.

    www.amipci.org.mx/images/AMIPCI_HABITOS_DEL_INTERNAUTA_MEXICANO_2015.pdf.

  3. 3.

    Pew Research Center, April 2014, “Older Adults and Technology Use”. Available at: http://www.pewinternet.org/2014/04/03/older-adults-and-technology-use/.

References

  1. Anzures, G., Ge, L., Wang, Z., Itakura, S., Lee, K.: Culture shapes efficiency of facial age judgments. PLoS ONE 5(7), e11679 (2010). doi:10.1371/journal.pone.0011679

    Article  Google Scholar 

  2. Aronson, E., Wilson, T.D., Brewer, M.B.: Experimentation in social psychology. In: Gilbert, D.T., Fiske, S.T., Lindzey, G. (eds.) The Handbook of Social Psychology, 4th edn, pp. 99–142. McGraw-Hill, New York (1998)

    Google Scholar 

  3. Bargh, J.A., Chartrand, T.L.: The mind in the middle: a practical guide to priming and automaticity research. In: Reis, H.T., Judd, C.M. (eds.) Handbook of Research Methods in Social and Personality Psychology, pp. 311–344. Cambridge University Press, Cambridge (2000)

    Google Scholar 

  4. Chartrand, T.L., Bargh, J.A.: Automatic activation of impression formation and memorization goals: nonconscious goal priming reproduces effects of explicit task instructions. J. Pers. Soc. Psychol. 71(3), 464–478 (1996). doi:10.1037/0022-3514.71.3.464

    Article  Google Scholar 

  5. Chua, P.-H., Jung, Y., Lwin, M.O., Theng, Y.-L.: Let’s play together: effects of video-game play on intergenerational perceptions among youth and elderly participants. Comput. Hum. Behav. 29(6), 2303–2311 (2013). doi:10.1016/j.chb.2013.04.037

    Article  Google Scholar 

  6. Eysenck, S.B.G., Eysenck, H.J., Barrett, P.: A revised version of the psychoticism scale. Pers. Individ. Differ. 6(1), 21–29 (1985). doi:10.1016/0191-8869(85)90026-1

    Article  Google Scholar 

  7. Hope, A., Schwaba, T., Piper, A.M.: Understanding digital and material social communications for older adults. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems - CHI 2014, pp. 3903–3912. ACM Press, New York (2014). doi:10.1145/2556288.2557133

  8. Ito, M., O’Day, V.L., Adler, A., Linde, C., Mynatt, E.D.: Making a place for seniors on the Net. ACM SIGCAS Comput. Soc. 31(3), 15–21 (2001). doi:10.1145/504696.504699

    Article  Google Scholar 

  9. Kleinberger, T., Becker, M., Ras, E., Holzinger, A., Müller, P.: Ambient intelligence in assisted living: enable elderly people to handle future interfaces. In: Stephanidis, C. (ed.) UAHCI 2007 (Part II). LNCS, vol. 4555, pp. 103–112. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  10. Kotter-Gruhn, D., Hess, T.M.: So you think you look young? Matching older adults’ subjective ages with age estimations provided by younger, middle-aged, and older adults. Int. J. Behav. Dev. 36(6), 468–475 (2012). doi:10.1177/0165025412454029

    Article  Google Scholar 

  11. Kotter-Grühn, D., Hess, T.M.: The impact of age stereotypes on self-perceptions of aging across the adult lifespan. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 67(5), 563–571 (2012). doi:10.1093/geronb/gbr153

    Article  Google Scholar 

  12. Lucas-Carrasco, R., Laidlaw, K., Gómez-Benito, J., Power, M.J.: Reliability and validity of the Attitudes to Ageing Questionnaire (AAQ) in older people in Spain. Int. Psychogeriatr. 25(03), 490–499 (2013). http://journals.cambridge.org/abstract_S1041610212001809

    Article  Google Scholar 

  13. Sato, T.: The Eysenck personality questionnaire brief version: factor structure and reliability. J. Psychol. 139(6), 545–552 (2005). doi:10.3200/JRLP.139.6.545-552

    Article  Google Scholar 

  14. Spaan, P.E.J., Raaijmakers, J.G.W.: Priming effects from young-old to very old age on a word-stem completion task: minimizing explicit contamination. Neuropsychol. Dev. Cogn. Sect. B Aging Neuropsychol. Cogn. 18(1), 86–107 (2011). doi:10.1080/13825585.2010.511146

    Article  Google Scholar 

  15. Srull, T.K., Wyer, R.S.: The role of category accessibility in the interpretation of information about persons: some determinants and implications. J. Pers. Soc. Psychol. 37(10), 1660 (1979)

    Article  Google Scholar 

  16. United Nations Department of Economic and Social Affairs Population Division. World Population Ageing 2013. New York (2013). doi:ST/ESA/SER.A/348

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. A. Rodrigo Juarez .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Juarez, M.A.R., Favela, J., González, V.M. (2015). Do Technology-Related Stimuli Affect Age Estimation?. In: Cleland, I., Guerrero, L., Bravo, J. (eds) Ambient Assisted Living. ICT-based Solutions in Real Life Situations. IWAAL 2015. Lecture Notes in Computer Science(), vol 9455. Springer, Cham. https://doi.org/10.1007/978-3-319-26410-3_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-26410-3_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26409-7

  • Online ISBN: 978-3-319-26410-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics