Using Eye Tracking to Examine Age-Related Differences in Web Site Performance

The U.S. population is increasing, people are living longer, technology is moving forward, and the amount of older adults using computers is greater than ever. The percentage of older adults who are connecting to the Internet has grown more than any other age group. However, Web sites are often not designed with older adults in mind, and the cognitive difficulties that are inherent with age are often not taken into consideration. Using Census Bureau data, this paper addresses changes in population and technology, and using eye-tracking data from a usability study conducted at the Census Bureau, this paper demonstrates age-related differences in Web site performance. Implications and future directions for research are discussed.

[1]  Patricia Boechler,et al.  The Influence of Reading and Memory Skills on Older Adults’ Information Search and Learning in Educational Hypermedia , 2006 .

[2]  D. Roenker,et al.  Age and visual search: expanding the useful field of view. , 1988, Journal of the Optical Society of America. A, Optics and image science.

[3]  Elizabeth Harrin Universal Usability: Designing Computer Interfaces for Diverse Users , 2008, Comput. J..

[4]  Eszter Hargittai,et al.  Second-Level Digital Divide: Differences in People's Online Skills , 2002, First Monday.

[5]  Ian H. Witten,et al.  Web usability and age: how design changes can improve performance , 2002, CUU '03.

[6]  Jakob Nielsen,et al.  A mathematical model of the finding of usability problems , 1993, INTERCHI.

[7]  J. Day,et al.  Computer and Internet Use in the United States: 2003 , 2005 .

[8]  S. Fienberg,et al.  Current Population Survey , 2012 .

[9]  N. Mackworth Visual noise causes tunnel vision , 1965 .

[10]  Paige E. Scalf,et al.  The Neural Correlates of an Expanded Functional Field of View. , 2007, The journals of gerontology. Series B, Psychological sciences and social sciences.

[11]  J. E. Kubeck FINDING INFORMATION ON THE WORLD WIDE WEB: EXPLORING OLDER ADULTS' EXPLORATION , 1999 .

[12]  L. J. Williams Foveal Load Affects the Functional Field of View , 1989 .

[13]  Arthur D. Fisk,et al.  Web-Based Information Search and Retrieval: Effects of Strategy Use and Age on Search Success , 2006, Hum. Factors.

[14]  C. Scialfa,et al.  Age differences in target identification as a function of retinal location and noise level: examination of the useful field of view. , 1987, Psychology and aging.

[15]  Linden J. Ball,et al.  Eye Tracking in Human-Computer Interaction and Usability Research : Current Status and Future Prospects , 2004 .

[16]  R. Sekuler,et al.  Visual localization: age and practice. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[17]  T. Salthouse When does age-related cognitive decline begin? , 2009, Neurobiology of Aging.

[18]  Thomas S. Tullis,et al.  Older Adults and the Web: Lessons Learned from Eye-Tracking , 2007, HCI.

[19]  Sara J. Czaja,et al.  The impact of aging on access to technology , 2005, ASAC.

[20]  P. Bennett,et al.  Effects of aging on the useful field of view. , 2000, Experimental aging research.