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Cognitive training via interactive television: drivers, barriers and potential users

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Abstract

This paper describes research to investigate the attitudinal and motivational factors that might facilitate or inhibit the uptake and use of cognitive training (CT) applications via interactive television (iTV) by both young and older people and to explore the profiles of potential users of such applications. A questionnaire was designed and distributed as part of the Vital Mind (VM) project. Data from a sample of 848 young and older people were collected and analysed using principal component analysis (PCA) and cluster analysis (CA). PCA of 41 attitude statements identified six components/factors. Three factors measured potential drivers to uptake and use of iTV-based CT applications (‘active wellbeing’, ‘health concern’ and ‘technophilia’) and two measured potential barriers (‘unprogressiveness’ and ‘telly-negativity’). A sixth factor (‘active sociability’) could act as either a driver or barrier, depending on how socially oriented are different CT applications. CA of the factors and age data revealed seven different profiles of potential users of CT through iTV. Three of the clusters were predominantly older (labelled Cultured-Conservatives, Digital-Immigrants and Telly-Fans), three were younger (labelled Healthy-Strivers, Digital-Natives and Net-Generation) and one was middle-aged (labelled Busy-Interactors). Reported media use and activity (mental, physical and social) were consistent with the attitude profiles of the clusters. The appeal of iTV-based CT was generally high, with Digital-Natives and Digital-Immigrants indicating the most interest. This research provides evidence for the key attitudinal dimensions predictive of likely adoption and use of iTV-based CT, and a refined understanding of target younger and older user markets.

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Notes

  1. http://www.lumosity.com/.

  2. http://www.positscience.com/.

  3. http://www.cognifit.com/.

References

  1. Alavi, M., Joachimsthaler, E.A.: Revisiting DSS implementation research: a meta-analysis of the literature and suggestions for researchers. MIS Quart. 16(1), 95–116 (1992)

    Article  Google Scholar 

  2. Aldenderfer, M.S., Blashfield, R.K.: Cluster Analysis. Sage, Newbury Park (1984)

    Google Scholar 

  3. Alexander, G.E., Furey, M.L., Grady, C.L., Pietrini, P., Brady, D.R., Mentis, M.J., Schapiro, M.B.: Association of premorbid intellectual function with cerebral metabolism in Alzheimer’s disease: implications for the cognitive reserve hypothesis. Am. J. Psychiatry 154, 165–172 (1997)

    Google Scholar 

  4. Ball, K., Berch, D.B., Helmers, K.F., Jobe, J.B., Leveck, M.D., Marsiske, M., Morris, J.N., Rebok, G.W., Smith, D.M., Tennstedt, S.L., Unverzagt, F.W., Willis, S.L.: Effects of cognitive training interventions with older adults: a randomized controlled trial. J. Am. Med. Assoc. 288, 2271–2281 (2002)

    Article  Google Scholar 

  5. Ball, K., Edwards, J.D., Ross, L.A.: The impact of speed of processing training on cognitive and everyday functions. J. Gerontol. B 62B, 19–31 (2007)

    Article  Google Scholar 

  6. Baltes, M.M., Kuhl, K., Gutzmann, H., Sowarka, D.: Potential of cognitive plasticity as a diagnostic instrument: a cross-validation and extension. Psychol. Aging 2, 167–172 (1995)

    Article  Google Scholar 

  7. Barnes, S.J., Bauer, H.H., Neumann, M.M., Huber, F.: Segmenting cyberspace: a customer typology for the internet. Eur. J. Mark. 41(1/2), 71–93 (2007)

    Article  Google Scholar 

  8. Beckers, J.J., Mante, E.A., Schmidth, H.G.: Computer anxiety among ‘Smart’ dutch computer users. In: Katz, J.K. (ed.) Machines That Become Us: the Social Context of Personal Communication Technology, pp. 147–160. Transaction, New Brunswick (2003)

    Google Scholar 

  9. Caprio-Prevette, M.D., Fry, P.S.: Memory enhancement program for community-based older adults: development and evaluation. Exp. Aging Res. 22, 281–303 (1996)

    Article  Google Scholar 

  10. Christensen, H.: What cognitive changes can be expected with normal ageing? Aust. NZ J. Psychiatry 35, 768–775 (2001)

    Article  Google Scholar 

  11. Compeau, D., Higgins, C.A., Huff, S.: Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quart. 23, 145–158 (1999)

    Article  Google Scholar 

  12. Cronbach, L.: Coefficient alpha and the internal structure of tests. Psychometrika 16, 297–333 (2006)

    Article  Google Scholar 

  13. Czaja, S.J., Sharit, J.: Age differences in attitudes towards computers: the influence of task characteristics. J. Gerontol. B Psychol. Sci. Soc. Sci. 53B, 329–340 (1998)

    Article  Google Scholar 

  14. Davis, F.D.: Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quart. 13, 319–339 (1989)

    Article  Google Scholar 

  15. Dyer, C.: Research in Psychology: A Practical Guide to Methods and Statistics. Blackwell, Oxford (2006)

    Google Scholar 

  16. Ellis, D., Allaire, J.C.: Modeling computer interest in older adults: the role of age, education, computer knowledge, and computer anxiety. Hum. Factors 41, 345–356 (1999)

    Article  Google Scholar 

  17. Freeman, J., Lessiter, J., Williams, A., Harrison, D.: Easy TV 2002 Research Report. ITC and Consumer’s Association (2003)

  18. Frissen, V.: The myth of the digital divide. In: Zerdick, A., Picot, A., Schrape, K., Burgelman, J., Silverstone, R., Feldmann, V., Wernick, C., Wolff, C. (eds.) E-Merging Media: Communication and the Media Economy of the Future, pp. 271–284. Springer, Berlin (2005)

    Google Scholar 

  19. Green, T., Main, N., Aitken-Smith, J.: Can interactive digital television bridge the ‘digital divide’?. http://www.dcs.napier.ac.uk/~mm/socbytes/jun2001/jun2001_12.htm (2001)

  20. Günther, V.K., Schäfer, P., Holzner, B.J., Kemmler, G.W.: Long-term improvements in cognitive performance through computer-assisted cognitive training: a pilot study in a residential home for older people. Aging Ment. Health 7(3), 200–206 (2003)

    Article  Google Scholar 

  21. Hänninen, T., Koivisto, K., Reinikainen, K.J., Helkala, E.L., Soininen, H., Mykkanen, L., Laakso, M., Riekkinen, P.J.: Prevalence of ageing-associated cognitive decline in an elderly population. Age Ageing 25, 201–205 (1996)

    Article  Google Scholar 

  22. Hayslip, B., Maloy, R.M., Kohl, R.: Long-term efficacy with fluid ability interventions with older adults. J. Gerontol. B Psychol. Sci. Soc. Sci. 50B, 141–149 (1995)

    Article  Google Scholar 

  23. Helmstater, G.: Principles of Psychological Measurement. Appleton-Century-Crofts, New York (1964)

    Google Scholar 

  24. Horn, J.L., Cattell, R.B.: Age differences in fluid and crystalized intelligence. ActaPsychol 26, 107–129 (1967)

    Google Scholar 

  25. Horn, J.L., Donaldson, G.: On the myth of intellectual decline in adulthood. Am. Psychol. 31, 701–719 (1976)

    Article  Google Scholar 

  26. Hui, C., Traindis, H.C.: Effects of culture and response format on extreme response style. J. Cross Cult. Psychol. 20, 296–309 (1989)

    Article  Google Scholar 

  27. Hultsch, D.F., Hertzog, C., Small, B.J., Dixon, R.A.: Use it or lose it: engaged lifestyle as a buffer of cognitive decline in aging? Psychol. Aging 14, 245–263 (1999)

    Article  Google Scholar 

  28. Jimison, H., Gorman, P., Woods, S., Nygren, P., Walker, M., Norris, S., Hersh, W.: Barriers and drivers of health information technology use for the elderly, chronically ill, and underserved. Evidence Report/Technol. Assess. 175, 1–1422 (2008)

    Google Scholar 

  29. Juaneda, C., Sastre, F.: Balearic Islands tourism: a case study in demographic segmentation. Tour. Manag. 20(4), 549–552 (1999)

    Article  Google Scholar 

  30. Katsnelson, A.: No gain from brain training. Nature 464, 1111 (2010)

    Article  Google Scholar 

  31. Kotler, P., Armstrong, G.: Principles of Marketing, 8th edn. Prentice-Hall International, Englewood Cliffs (1999)

    Google Scholar 

  32. Lin, C.F.: Segmenting customer brand preference: demographic or psychographic. J. Prod. Brand Manag. 11(4), 249–268 (2002)

    Article  Google Scholar 

  33. Marin, G., Gamba, R.J., Marin, B.V.: Extreme response style and acquiescence among Hispanics: the role of acculturation and education. J. Cross Cult. Psychol. 23, 498–509 (1992)

    Article  Google Scholar 

  34. Marquie, J.C., Jourdan-Boddaert, L., Huet, N.: Do older adults underestimate their actual computer knowledge. Behav. Inform. Technol. 21, 273–280 (2002)

    Article  Google Scholar 

  35. Mathieson, K., Peacock, E., Chin, W.W.: Extending the technology acceptance model: the influence of perceived user resources. Database Adv. Inf. Syst. 32(3), 86 (2001)

    Article  Google Scholar 

  36. Meuter, M.L., Bitner, M.J., Ostrom, A.L., Brown, S.W.: Choosing among alternative service delivery modes: an investigation of customer trial of self-service technologies. J. Mark. 69(2), 61–83 (2005)

    Article  Google Scholar 

  37. Miotto, A., Lessiter, J., Freeman, J.: Interactive digital television to enhance older people’s quality of life. EuroITV2009 Workshop: Defining the Architecture for Next Generation Inclusive Television (2009)

  38. Morse, C.K.: Does variability increase with age? An archival study of cognitive measures. Psychol. Aging 8(2), 156–164 (1993)

    Article  MathSciNet  Google Scholar 

  39. Moss, S., Prosser, H., Costello, H., Simpson, N., Patel, P., Rowe, S., Turner, S., Hatton, C.: Reliability and validity of the PAS–ADD checklist for detecting psychiatric disorders in adults with intellectual disability. J. Intell. Disabil. Res. 42, 173–183 (1998)

    Article  Google Scholar 

  40. Mungas, D., Harvey, D., Reed, B.R., Jagust, W.J., DeCarli, C., Beckett, L., Mack, W.J., Kramer, J.H., Weiner, M.W., Schuff, N., Chui, H.C.: Longitudinal volumetric MRI change and rate of cognitive decline. Neurology 65, 565–571 (2005)

    Article  Google Scholar 

  41. Nicholas, D., Huntington, P., Williams, P., Gunter, B.: First Steps Towards Providing the Nation with Health Care Information and Advice via Their Television Sets: Summary Report. City University, London (2002)

    Google Scholar 

  42. Nicholas, D., Huntington, P., Williams, P., Monopoli, M., Gunter, B.: The characteristics of users and non-users of a digital interactive television service—case study: the living health channel. Inform. Prim. Care 10(2), 73–84 (2002)

    Google Scholar 

  43. Norusis, M.J.: SPSS 12.0 Statistical Procedures Companion. Pentice Hall, New Jersey (2003)

    Google Scholar 

  44. Nunnally, J.C.: Psychometric Theory. McGraw Hill, New York (1967)

    Google Scholar 

  45. Ofcom: Media Literacy Audit: Report on UK Adults’ Media Literacy’. Ofcom, London (2008)

    Google Scholar 

  46. Ofcom: The Consumer Experience—Research Report 09. Ofcom, London (2009)

    Google Scholar 

  47. Ofcom: UK Adults’ Media Literacy. Ofcom, London (2010)

    Google Scholar 

  48. Osman, Z., Poulson, D., Nicolle, C.: Introducing computers and the internet to older users: findings from the care OnLine project. Univers. Access. Inf. Soc. 4(1), 16–23 (2005)

    Article  Google Scholar 

  49. Owen, A.M., Hampshire, A., Grahn, J.A., Stenton, R., Sajan, S., Burns, A.S., Howard, R.J., Ballard, C.G.: Putting brain training to the test. Nature 464, 775–778 (2010)

    Article  Google Scholar 

  50. Pemberton, L., Rice, M., Griffiths, R.: Fear and loathing in the living room. Acceptability issues for interactive television services. In: Proceeding for the 18th British HCI Conference, Leeds, 6–10 Sept 2004 (2004)

  51. Prins, N.D., Van Dijk, E.J., Den Heijer, T., Vermeer, S.E., Jolles, J., Koudstaal, P.J., Hofman, A., Breteler, M.M.B.: Cerebral small-vessel disease and decline in information processing speed, executive function and memory. Brain 128, 2034–2041 (2005)

    Article  Google Scholar 

  52. Jayanti, R.K., McManamon, M.K., Whipple, T.W.: The effects of aging on brand attitude measurement. J. Consum. Mark. 21(4), 264–273 (2004)

    Article  Google Scholar 

  53. Scarmeas, N., Stern, Y.: Cognitive reserve and lifestyle. J. Clin. Exp. Neuropsychol. 25(5), 625–633 (2003)

    Article  Google Scholar 

  54. Selwyn, N., Gorard, S., Furlong, J., Madden, L.: Older adults’ use of information technology in everyday life. Ageing Soc. 23, 561–582 (2003)

    Article  Google Scholar 

  55. Smith, G.E., Housen, P., Yaffe, K., Ruff, R., Kennison, R.F., Mahncke, H.W., Zelinski, E.M.: A cognitive training program designed based on principles of brain plasticity: results from the improvement in memory with plasticity-based adaptive cognitive training study. J. Am. Geriatr. Soc. 57(4), 594–603 (2009)

    Article  Google Scholar 

  56. Stening, B.W., Everett, J.E.: Response styles in a cross-cultural managerial study. J. Soc. Psychol. 122, 151–156 (1984)

    Article  Google Scholar 

  57. Stern, Y.: Cognitive reserve and Alzheimer disease. Alzheimer Dis. Assoc. Disord. 20(3 Suppl 2):S69–S74 (2006)

  58. Streiner, D., Norman, G.: Health Measurement Scales. A Practical Guide to Their Development and Use, 2nd edn. Oxford University Press, New York (2000)

    Google Scholar 

  59. Tabachnick, B.G., Fidell, L.S.: Using Multivariate Statistics, 2nd edn. Harper Collins Publishers, New York (1989)

    Google Scholar 

  60. Verghese, J., Lipton, R.B., Katz, M.J., Hall, C.B., Derby, C.A., Kuslansky, G., Ambrose, A.F., Sliwinski, M., Buschke, H.: Leisure activities and the risk of dementia in the elderly. N. Engl. J. Med. 348, 2508–2516 (2003)

    Article  Google Scholar 

  61. Vyncke, P.: Lifestyle segmentation: from interests, and opinions, to values, aesthetic styles, life visions and media preferences. Eur. J. Commun. 17(4), 445–463 (2002)

    Article  Google Scholar 

  62. Wedel, M., Kamakura, W.: Market Segmentation: Conceptual and Methodological Foundations. Kluwer, Boston (1998)

    Google Scholar 

  63. Wilson, E.V., Lankton, N.K.: Modeling patients’ acceptance of provider-delivered E-health. J. Am. Med. Inform. Assoc. 11(4), 241–248 (2004)

    Article  Google Scholar 

  64. Yankner, B.A.: A century of cognitive decline: if we live long enough, will we all become demented? Nature 404, 125 (2000)

    Article  Google Scholar 

  65. Ylikoski, R., Ylikoski, A., Keskivaara, P., Tilvis, R., Sulkava, R., Erkinjuntti, T.: Heterogeneity of cognitive profiles in aging: successful aging, normal aging, and individuals at risk for cognitive decline. Eur. J. Neurol. 6, 645–652 (1999)

    Article  Google Scholar 

  66. Zelinski, E.: Scientific critique of BBC/Nature Brain Training Experiment. http://www.sharpbrains.com/blog/2010/05/10/scientific-critique-of-bbc-nature-brain-training-experiment/ (2010)

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Acknowledgments

We acknowledge financial support from the Future and Emerging Technologies (FET) programme within the EU Seventh Framework Programme (FP7), under the VITAL MIND project (contract number: IST-215387).

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Correspondence to Andrea Miotto.

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Miotto, A., Lessiter, J., Freeman, J. et al. Cognitive training via interactive television: drivers, barriers and potential users. Univ Access Inf Soc 12, 37–54 (2013). https://doi.org/10.1007/s10209-011-0264-6

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