Skip to main content
Log in

Older adults fail to see the periphery in a Web site task

  • Long paper
  • Published:
Universal Access in the Information Society Aims and scope Submit manuscript

Abstract

Eye movement deficiencies are inherent with age and tend to increase in distracting visual fields, in the useful field of view (UFoV), and when information is located in the periphery. Despite well-known age-related differences in eye movement, there has been limited empirical study into how older adults look at Web sites. The study of eye movement during Web site interaction is advantageous to the study of UFoV theory because Web sites are typically complex, with important navigational elements located in the periphery. Using non-invasive eye tracking, eye movement patterns were investigated in young, middle, and older adults while they initially interacted with a typical Web site (i.e., standard top and left navigation). Older adults looked less frequently at peripheral parts of the screen compared to young adults, with the left and top navigation accounting for the greatest age-related differences. Age-related differences in eye movement emerged during the initial 10 s and were independent from Internet experience, suggesting differences in eye movement while interacting with Web sites are inherent with aging. Results show age-related differences in eye movement during a Web site task. These applied, experimental results directly support UFoV cognitive theory in a real-world setting.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Notes

  1. To account for missing data, prior to analysis, the video recordings for 25 participants whose percentage of captured fixations (compared to the total screen capture time) was below 75 % were examined. Eight participants (one middle age and seven older adults) were omitted from all analyses due to lack of eye-tracking data.

References

  1. Ball, K.K., Beard, B.L., Roenker, D.L., Miller, R.L., Griggs, D.S.: Age and visual search: expanding the useful field of view. J. Opt. Soc. Am. 5, 2210–2219 (1988)

    Article  Google Scholar 

  2. Schieber, F.: Human factors and aging: identifying and compensating for age-related deficits in sensory and cognitive function. In: Charness, N., Schaie, K.W. (eds.) Impact of Technology on Successful Aging, pp. 42–83. Springer, New York (2003)

    Google Scholar 

  3. Mackworth, N.H.: Visual noise causes tunnel vision. Psychon. Sci. 3, 67–68 (1965)

    Article  Google Scholar 

  4. Madden, D., Connelly, S.L., Pierce, T.W.: Adult age differences in shifting focused attention. Psychol. Aging 9, 528–538 (1994)

    Article  Google Scholar 

  5. Romano, J.C., Dennis, N.A., Howard, D.V., Howard, J.H., Jr.: Implicit spatial context learning depends on target location in older adults. Presentation at the 20th anniversary cognitive ageing conference, Adelaide, South Australia, July 2007

  6. Romano, J., Olmsted-Hawala, E., Jans, M.: Age-related differences in eye tracking and usability performance: website usability for older adults. Int. J. Hum. Comput. Interact. 29, 541–548 (2013)

    Article  Google Scholar 

  7. Scalf, P.E., Colcombe, S.J., McCarley, J.S., Erickson, K.I., Alvarado, M., Kim, J.S., et al.: The neural correlates of an expanded functional field of view. J. Gerontol. Ser. B 62B, 32–44 (2007)

    Article  Google Scholar 

  8. Scialfa, C.T., Kline, D.W., Lyman, B.J.: Age differences in target identification as a function of retinal location and noise level: examination of the useful field of view. Psychol. Aging 2, 14–19 (1987)

    Article  Google Scholar 

  9. Sekuler, A.B., Ball, K.K.: Visual localization: age and practice. J. Opt. Soc. Am. 3, 864–867 (1986)

    Article  Google Scholar 

  10. Sekuler, A.B., Bennett, P.J., Mamelak, M.: Effects of aging on the useful field of view. Exp. Aging Res. 26, 103–120 (2000)

    Article  Google Scholar 

  11. Williams, L.J.: Foveal load affects functional field of view. Hum. Perform. 2, 1–28 (1989)

    Article  Google Scholar 

  12. Salthouse, T.A.: Speed of behavior and its implications for cognition. In: Birren, J.E., Schaie, K.W. (eds.) Handbook of the Psychology of Aging, 2nd edn, pp. 400–426. Van Nostrand Reinhold, New York (1985)

    Google Scholar 

  13. Humphrey, D.G., Kramer, A.F.: Age differences in visual search for feature, conjunction, and triple-conjunction targets. Psychol. Aging 12, 704–717 (1997)

    Article  Google Scholar 

  14. Madden, D.J.: Adult age differences in the attentional capacity demands of visual search. Cogn. Dev. 1(4), 335–363 (1986)

    Article  Google Scholar 

  15. Salthouse, T.A., Rogan, J.D., Prill, K.A.: Division of attention: age differences on a visually presented memory task. Mem. Cognit. 12, 613–620 (1984)

    Article  Google Scholar 

  16. Watson, D.G., Maylor, E.A., Bruce, L.A.M.: Effects of age on searching for and enumerating targets that cannot be detected efficiently. Q. J. Exp. Psychol. 58, 1119–1142 (2005)

    Article  Google Scholar 

  17. Hasher, L., Zacks, R.T.: Working memory, comprehension, and aging: a review and a new view. In: Bower, G.H. (ed.) The Psychology of Learning and Motivation, vol. 22, pp. 193–225. Academic Press, New York (1988)

    Google Scholar 

  18. Roberts, W., Fillmore, M.T., Milich, R.: Separating automatic and intentional inhibitory mechanisms of attention in adults with attention-deficit/hyperactivity disorder. J. Abnorm. Psychol. 120, 223–233 (2010)

    Article  Google Scholar 

  19. Schriver, A.T., Morrow, D.G., Wickens, C.D., Talleur, D.A.: Expertise differences in attentional strategies related to pilot decision making. In: Proceedings of the 50th Annual Meeting of the Human Factors and Ergonomics Society. Human Factors and Ergonomics Society, Santa Monica, CA (2008)

  20. Yoder, K.J., Belmonte, M.K.: Combining computer game-based behavioural experiments with high-density EEG and infrared gaze tracking. J. Vis. Exp. 46, 2320 (2010)

    Google Scholar 

  21. Pew Internet & American Life Project: http://pewinternet.org/Reports/2010/Generations-2010.aspx (2009)

  22. US Census Bureau: Reported Internet Usage for Households, by Selected Householder Characteristics: 2009. Source: Current Population Survey, US Census Bureau. http://www.census.gov/hhes/computer/publications/2009.html (2010a)

  23. US Census Bureau: Computer and Internet Use in the United States: 2010. http://www.census.gov/population/www/socdemo/computer.html (2010b)

  24. Boechler, P.M., Foth, D., Watchorn, R.: The influence of reading and memory skills on older adults’ information search and learning in educational hypermedia. In: Proceedings of ELearn 2006, Honolulu, Hawaii: AACE, June 2006

  25. Chadwick-Dias, A., McNulty, M., Tullis, T.: Web usability and age: how design changes can improve performance. In: Proceedings of the Conference on Universal Usability, Vancouver, British Columbia, Canada, November 2003

  26. Redish, J.C., Chisnell, D.: Designing web sites for older adults: a review of recent research. AARP. Retrieved April 2, 2009, from http://assets.aarp.org/www.aarp.org_/articles/research/oww/AARP-LitReview2004.pdf (2004)

  27. Rogers, W.A., Badre, A.: The Web user: Older adults. In: Badre, A. (ed.) Shaping Web Usability: Interaction Design in Context, pp. 91–108. Addison-Wesley, Boston (2002)

    Google Scholar 

  28. Chun, M.V.: Contextual cueing of visual attention. Trends Cogn. Sci. 4, 170–178 (2000)

    Article  Google Scholar 

  29. Mitzner, T.L., Touron, D.R., Rogers, W.A., Hertzog, C.: Checking it twice: age-related differences in double checking during visual search. Proc. Hum. Fact. Ergon. Soc. Annu. Meet. 54(18), 1326–1330 (2010)

    Article  Google Scholar 

  30. Mitzner, T.L., Burnett, J., Trexler, E.J., Rogers, W.A., Charness, N.: Guiding the Development of PRISM-C: Results from the Computer Preferences and Usage Questionnaire (HFA-TR-1003). Georgia Institute of Technology, School of Psychology, Human Factors and Aging Laboratory, Atlanta, GA (2010)

    Google Scholar 

  31. Romano Bergstrom, J.C., Olmsted-Hawala, E.L., Rogers, W.A., Krosnick, J.A.: Age-related differences in reported computer and Internet usage based on question type: ‘a great deal’ of variability. Presentation at the AAPOR conference, Phoenix, AZ, May 2011

  32. Tun, P.A., Lachman, M.E.: Telephone assessment of cognitive function in adulthood: the brief test of adult cognition by telephone. Age Ageing 35(6), 629–632 (2006)

    Article  Google Scholar 

  33. Shipley, W.: Shipley Institute of Living Scale. Western Psychological Press, Los Angeles (1986)

    Google Scholar 

  34. Jolliffe, I.T.: Principal Component Analysis, vol. 2. Wiley Online Library, Hoboken (2002)

    MATH  Google Scholar 

  35. Bergstrom, H.C., McDonald, C.G., Dey, S., Tang, H., Selwyn, R.G., Johnson, L.R.: The structure of Pavlovian fear conditioning in the amygdala. Brain Struct. Funct. (2012). doi:10.1007/s00429-012-0478-2

    Google Scholar 

  36. Bergstrom, H.C., McDonald, C.G., French, H.T., Smith, R.F.: Continuous nicotine administration produces selective, age-dependent structural alteration of pyramidal neurons from prelimbic cortex. Synapse 62(1), 31–39 (2008). doi:10.1002/syn.20467

    Article  Google Scholar 

  37. Bergstrom, H.C., McDonald, C.G., Johnson, L.R.: Pavlovian fear conditioning activates a common pattern of neurons in the lateral amygdala of individual brains. PLoS One 6(1), e15698 (2011). doi:10.1371/journal.pone.0015698

    Article  Google Scholar 

  38. Jacob, R.J.K., Karn, K.S.: Eye tracking in human–computer interaction and usability research: ready to deliver the promises. In: Hyona, J., Radach, R., Deubel, H. (eds.) The Mind’s Eye: Cognitive and Applied Aspects of Eye Movements, pp. 573–605. Elsevier, London (2003)

    Chapter  Google Scholar 

  39. Poole, A., Ball, L.J.: Eye Tracking in human–computer interaction and usability research: current status and future prospects. In: Ghaoui, C. (ed.) Encyclopedia of Human Computer Interaction, pp. 211–219. Idea Group, Hershey (2005)

    Google Scholar 

  40. Poole, A., Ball, L.J., Phillips, P.: In search of salience: a response time and eye movement analysis of bookmark recognition. In: People and Computers XVIII (Proceedings of HCI 2004), pp. 363–378. Springer, London (2004)

  41. Czaja, S.J., Charit, J., Ownby, R., Roth, D.L., Nair, S.: Examining age differences in performance of a complex information search and retrieval task. Psychol. Aging 21, 333–352 (2001)

    Article  Google Scholar 

  42. Loos, E.F., Mante-Meijer, E.A.: Getting access to website health information. In: Loos, E.F., Haddon, L., Mante-Meijer, E.A. (eds.) Generational Use of New Media, pp. 185–202. Ashgate, Farnham (2012)

    Google Scholar 

  43. Loos, E.F., Romano Bergstrom, J.C.: Older adults. In: Schall, A., Romano Bergstrom, J. (eds.) Eye Tracking in User Experience Design, pp. 313–346. Elsevier, Waltham (2014)

    Chapter  Google Scholar 

  44. Tullis, T.S.: Older adults and the web: lessons learned from eye-tracking. In: Stephanidis, C. (ed.) Universal Access in HCI, Part I, HCII 2007, LNCS, vol. 4554, pp. 1030–1039. Springer, Berlin (2009)

    Google Scholar 

  45. Birren, J.E., Shaie, K.W.: Handbook of the Psychology of Aging. Elsevier, Burlington (2006)

    Google Scholar 

  46. Chen, C., Rada, R.: Interacting with hypertext: a meta-analysis of experimental studies. Hum. Comput. Interact. 11, 125–156 (1996)

    Article  Google Scholar 

  47. Craik, F.I.M., Salthouse, T.A.: The Handbook of Aging and Cognition. Lawrence Erlbaum Associates, Mahwah (2000)

    Google Scholar 

  48. Fisk, A.D., Rogers, W.A.: Handbook of Human Factors and the Older Adult. Academic Press, San Diego (1997)

    Google Scholar 

  49. Levine, S.P., Horstmann, H.M., Kirsch, N.L.: Performance considerations for people with cognitive impairment in accessing assistive technologies. J. Head Trauma Rehabil. 3, 46–58 (1992)

    Article  Google Scholar 

  50. McGrath, D.: Hypertext, CIA, paper, or program control: do learners benefit from choices? J. Res. Comput. Educ. 24, 513–532 (1992)

    Article  Google Scholar 

  51. Park, D.C., Schwarz, N. (eds.): Cognitive Aging: A Primer. Psychology Press, Philadelphia (2000)

    Google Scholar 

  52. Vanderheiden, G.: Cognitive and language impairments and their implications. Trace Research and Development Center, University of Wisconsin-Madison, Madison (1998)

    Google Scholar 

  53. Beurskens, R., Bock, O.: Age-related decline of peripheral visual processing: the role of eye movements. Exp. Brain Res. 217, 117–124 (2012)

    Article  Google Scholar 

  54. Williams, C.C., Zacks, R.T., Henderson, J.M.: Age differences in what is viewed and remembered in complex conjunction search. Q. J. Exp. Psychol. 62, 946–966 (2009)

    Article  Google Scholar 

  55. Ball, K.K., Roenker, D., Bruni, J.: Developmental changes in attention and visual search throughout adulthood. In: Enns, J.T. (ed.) The Development of Attention: Research and Theory, pp. 489–508. North-Holland, Amsterdam (1990)

    Chapter  Google Scholar 

Download references

Acknowledgments

The authors would like to thank Wendy Rogers and Yves Thibaudeau for valuable input on study design and Joanne Pascale, Rodney Terry, Kenny Herrell and Jon Krosnick for helpful feedback on earlier versions of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jennifer C. Romano Bergstrom.

Additional information

This report is released to inform interested parties of research and to encourage discussion. Any views expressed on the methodological issues are those of the authors and not necessarily those of the US Census Bureau, the Fors Marsh Group or of the National Institute on Alcohol Abuse and Alcoholism. When this work was conducted, Jennifer was a post-doctoral researcher at the US Census Bureau; she is now the User Experience Research Leader at Fors Marsh Group.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Romano Bergstrom, J.C., Olmsted-Hawala, E.L. & Bergstrom, H.C. Older adults fail to see the periphery in a Web site task. Univ Access Inf Soc 15, 261–270 (2016). https://doi.org/10.1007/s10209-014-0382-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10209-014-0382-z

Keywords

Navigation