Advertisement

Capturing Older People’s Cognitive Capability Data for Design

  • Shan Huang
  • Hua DongEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9193)

Abstract

There is a lack of cognitive capability data in design. Existing capability databases lack consideration of older people who are suffering decline of cognitive capabilities. To explore older people’s cognitive capability data for the design context, two pilot studies were conducted: a small-scale cognitive capability survey in China, and a study of a group of industrial designers’ needs regarding user data. A Framework of user data were developed and key issues for cognitive capability data collection and application in design were identified and discussed.

Keywords

Cognitive capability User data Design for older people Human factors and ergonomics 

Notes

Acknowledgments

We thank all the people who participated in this study. Many members of the Inclusive Design Research Centre (China) helped data collection in the pilot study; our sincere thanks go to Ning weining, Zhou qian, Cui xiaochen, Jiang yingcheng, Zhang yingyu, Ma xuezi and Zhang wenyun.

References

  1. 1.
    Johnson, D., Clarkson, J., Huppert, F.: Capability measurement for inclusive design. J. Eng. Des. 21(2–3), 275–288 (2010)CrossRefGoogle Scholar
  2. 2.
    China National Institution of Standardization. http://www.cnis.gov.cn/. Accessed 5 Oct 14
  3. 3.
    Towards better design. http://www.esds.ac.uk/findingData/snDescription.asp?sn=6997. Accessed 12 Oct 14
  4. 4.
    Meister, D.: The History of Human Factors and Ergonomics. Lawrence Erlbaum Associates, Mahwah (1999)Google Scholar
  5. 5.
    Norris, B.J., Wilson, J.R.: CHILDATA—The Handbook of Child Measurements and Capabilities—Data for Design Safety. Department of Trade and Industry, London (1995)Google Scholar
  6. 6.
    Clarkson, P.J., et al.: Approaches to estimating user exclusion. Appl. Ergon. (2013). doi: 10.1016/j.apergo. Accessed 01 Mar 13zbMATHGoogle Scholar
  7. 7.
    Waller, S.D., Langdon, P.M., Clarkson, P.J.: Using disability data to estimate design exclusion. Univ. Access Inf. Soc. 9(3), 195–207 (2010)CrossRefGoogle Scholar
  8. 8.
    Tenneti, R., Johnson, D., Goldenberg, L., et al.: Towards a capabilities database to inform inclusive design: Experimental investigation of effective survey-based predictors of human-product interaction. Appl. Ergon. 43(4), 713–726 (2012)CrossRefGoogle Scholar
  9. 9.
    Cross, N.: Designerly Ways of Knowing. Springer, London (2006)Google Scholar
  10. 10.
    Fors, Stefan, Thorslund, Mats, Parker, Marti G.: Do actions speak louder than words? Self-assessed and performance-based measures of physical and visual function among old people. Eur. J. Ageing 3(1), 15–21 (2006)CrossRefGoogle Scholar
  11. 11.
    Reuben, D., et al.: Refining the categorization of physical functional status: the added value of combining self-reported and performance-based measures. J. Gerontol. 59A(10), 1056–1061 (2004)CrossRefGoogle Scholar
  12. 12.
    Guralnik, J., et al.: A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J. Gerontol. 49(2), M85–M94 (1994)CrossRefzbMATHGoogle Scholar
  13. 13.
    Solso, R.L., et al.: Cognitive Psychology, 7th edn. Pearson Education, Boston (2005)Google Scholar
  14. 14.
    Waugh, N.C., Norman, D.A.: Primary memory. Psych. 72, 89–104 (1965)Google Scholar
  15. 15.
    Hertzog, C., Kramer, A.F., Wilson, R.S., et al.: Enrichment effects on adult cognitive development can the functional capacity of older adults be preserved and enhanced? Psychol. Sci. Publ. Interest 9(1), 1–65 (2008)Google Scholar
  16. 16.
    Feifel, H.: Psychology and Death-Meaningful Rediscovery. AMER Psychological ASSOC, Washington (1957)Google Scholar
  17. 17.
    Cohen, G.: Language comprehension in old age. Cogn. Psychol. 11(4), 412–429 (1979)CrossRefGoogle Scholar
  18. 18.
    Langdon, P., Johnson, D., Huppert, F., et al.: A framework for collecting inclusive design data for the UK population. Appl. Ergon. 46, 318–324 (2015)CrossRefGoogle Scholar
  19. 19.
    Dong, H., McGinley, C., Nickpour, F., et al.: Designing for designers: insights into the knowledge users of inclusive design. Appl. Ergon. 46, 284–291 (2015)CrossRefGoogle Scholar
  20. 20.
    Iburg, K.M., Salomon, J.A., Tandon, A., et al.: Cross-population comparability of self-reported and physician-assessed mobility levels: evidence from the third national health and nutrition examination survey. In: Global Programme on Evidence for Health Policy Discussion Paper. World Health Organization, Geneva (2001)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.College of Architecture and Urban PlanningTongji UniversityShanghaiChina
  2. 2.College of Design and InnovationTongji UniversityShanghaiChina

Personalised recommendations