Age and Computer Skill Level Difference in Aging-Centered Design: A Case Study of a Social Type Website

According to the estimation of US Census Bureau, the age demographic will change from 13 percent of the population aged 65 and older in 2010 to 19 percent in 2030 [1]. With the fast growing number of elderly population, designers may be driven by market to consider an aging-centered design. However, the real challenge of aging-centered design may not only be the preference or interest by age difference but also the technology gap of using computer.

[1]  Chaiwoo Lee,et al.  User-centered system design in an aging society : an integrated study on technology adoption , 2014 .

[2]  B. Bai,et al.  The impact of website quality on customer satisfaction and purchase intentions : evidence from Chinese online visitors , 2008 .

[3]  S. Czaja,et al.  Examining age differences in performance of a complex information search and retrieval task. , 2001, Psychology and aging.

[4]  Cristina Botella,et al.  Process of design and usability evaluation of a telepsychology web and virtual reality system for the elderly: Butler , 2013, Int. J. Hum. Comput. Stud..

[5]  Wei-Jaw Deng,et al.  The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services , 2009, Comput. Hum. Behav..

[6]  Donald A. Norman,et al.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .

[7]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[8]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[9]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[10]  S. Czaja,et al.  Age differences in the performance of computer-based work. , 1993, Psychology and aging.

[11]  Francisco Nunes,et al.  3 x 7 Usability Testing Guidelines for Older Adults , 2010 .

[12]  Neil Charness,et al.  Issues in training older adults to use computers , 1995, Behav. Inf. Technol..

[13]  Colin G. Drury Integrating Service Quality and Human Factors , 2010 .

[14]  D. Hawthorn,et al.  Possible implications of aging for interface designers , 2000, Interact. Comput..

[15]  Milena M. Head,et al.  Computer use by older adults: A multi-disciplinary review , 2010, Comput. Hum. Behav..

[16]  P. Ackerman,et al.  Age, ability, and the role of prior knowledge on the acquisition of new domain knowledge: promising results in a real-world learning environment. , 2005, Psychology and aging.

[17]  Jack Botwinick,et al.  Memory, related functions, and age , 1974 .

[18]  Panayiotis Zaphiris,et al.  Research-derived web design guidelines for older people , 2005, Assets '05.

[19]  S. Czaja,et al.  Age differences in attitudes toward computers. , 1998, The journals of gerontology. Series B, Psychological sciences and social sciences.

[20]  Cathleen Wharton,et al.  The cognitive walkthrough method: a practitioner's guide , 1994 .

[21]  William J. Kettinger,et al.  Perceived Service Quality and User Satisfaction with the Information Services Function , 1994 .

[22]  Wan Chul Yoon,et al.  Age- and experience-related user behavior differences in the use of complicated electronic devices , 2008, Int. J. Hum. Comput. Stud..

[23]  Arthur D. Fisk,et al.  Understanding age and technology experience differences in use of prior knowledge for everyday technology interactions , 2012, TACC.

[24]  V. Zeithaml,et al.  E-S-QUAL A Multiple-Item Scale for Assessing Electronic Service Quality , 2004 .