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.
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Notes
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
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)
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)
Mackworth, N.H.: Visual noise causes tunnel vision. Psychon. Sci. 3, 67–68 (1965)
Madden, D., Connelly, S.L., Pierce, T.W.: Adult age differences in shifting focused attention. Psychol. Aging 9, 528–538 (1994)
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
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)
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)
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)
Sekuler, A.B., Ball, K.K.: Visual localization: age and practice. J. Opt. Soc. Am. 3, 864–867 (1986)
Sekuler, A.B., Bennett, P.J., Mamelak, M.: Effects of aging on the useful field of view. Exp. Aging Res. 26, 103–120 (2000)
Williams, L.J.: Foveal load affects functional field of view. Hum. Perform. 2, 1–28 (1989)
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)
Humphrey, D.G., Kramer, A.F.: Age differences in visual search for feature, conjunction, and triple-conjunction targets. Psychol. Aging 12, 704–717 (1997)
Madden, D.J.: Adult age differences in the attentional capacity demands of visual search. Cogn. Dev. 1(4), 335–363 (1986)
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)
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)
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)
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)
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)
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)
Pew Internet & American Life Project: http://pewinternet.org/Reports/2010/Generations-2010.aspx (2009)
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)
US Census Bureau: Computer and Internet Use in the United States: 2010. http://www.census.gov/population/www/socdemo/computer.html (2010b)
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
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
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)
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)
Chun, M.V.: Contextual cueing of visual attention. Trends Cogn. Sci. 4, 170–178 (2000)
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)
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)
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
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)
Shipley, W.: Shipley Institute of Living Scale. Western Psychological Press, Los Angeles (1986)
Jolliffe, I.T.: Principal Component Analysis, vol. 2. Wiley Online Library, Hoboken (2002)
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
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
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
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)
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)
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)
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)
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)
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)
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)
Birren, J.E., Shaie, K.W.: Handbook of the Psychology of Aging. Elsevier, Burlington (2006)
Chen, C., Rada, R.: Interacting with hypertext: a meta-analysis of experimental studies. Hum. Comput. Interact. 11, 125–156 (1996)
Craik, F.I.M., Salthouse, T.A.: The Handbook of Aging and Cognition. Lawrence Erlbaum Associates, Mahwah (2000)
Fisk, A.D., Rogers, W.A.: Handbook of Human Factors and the Older Adult. Academic Press, San Diego (1997)
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)
McGrath, D.: Hypertext, CIA, paper, or program control: do learners benefit from choices? J. Res. Comput. Educ. 24, 513–532 (1992)
Park, D.C., Schwarz, N. (eds.): Cognitive Aging: A Primer. Psychology Press, Philadelphia (2000)
Vanderheiden, G.: Cognitive and language impairments and their implications. Trace Research and Development Center, University of Wisconsin-Madison, Madison (1998)
Beurskens, R., Bock, O.: Age-related decline of peripheral visual processing: the role of eye movements. Exp. Brain Res. 217, 117–124 (2012)
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)
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)
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.
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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.
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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
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DOI: https://doi.org/10.1007/s10209-014-0382-z