Aging and information technology use: Potential and barriers

Current Directions in Psychological Science

Volumn 18, Issue 5, 2009, Pages 253-258

  Charness, Neil ^a   Boot, Walter R ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Ability; Age; Attitude; Cognition; Technology

Indexed keywords

EID: 74849114997     PISSN: 09637214     EISSN: 14678721     Source Type: Journal    
DOI: 10.1111/j.1467-8721.2009.01647.x     Document Type: Article

References (24)

1. Czaja, S.J., & Lee, C.C. (2007). Information technology and older adults. In J.A. Jacko & A. Sears (Eds.), The human-computer interaction handbook (2nd ed., pp. 777-792). New York: Erlbaum. A clearly written, user-friendly, and comprehensive review for readers who wish to expand their knowledge on technology and aging.
2. Fisk, A.D., Rogers, W.A., Charness, N., Czaja, S.J., & Sharit, J. (2009). Designing for older adults: Principles and creative human factors approaches (2nd ed.). Boca Raton, FL: CRC Press. A primer aimed at the design community, containing guidelines as well as short tutorials on topics such as how to conduct focus groups, use and interpret basic statistics, conduct usability testing and task analysis, and carry out GOMS modeling for older adults.
3. Harrington, T.L., & Harrington, M.K. (2000). Gerontechnology: Why and how. Maastricht, The Netherlands: Shaker. A very readable book defining the field of gerontechnology and highlighting its goals.
4. Mayr, U. (Ed.). (2008). Cognitive plasticity in the aging mind [Special section]. Psychology and Aging, 23, 681-786. A special issue discussing evidence for the efficacy of videogames and other cognitive training procedures for older adults in more detail than the current paper.
5. Pew Internet & American Life Project reports :. An ongoing research project providing representative sample data for the United States on technology use trends, focused on use of the Internet; the Pew project also makes their data sets available for reanalysis.
6. Basak, C., Boot, W.R., Voss, M. Kramer, A.F. (2008). Can training in a real-time strategy videogame attenuate cognitive decline in older adults? Psychology and Aging, 23, 765 777.
7. Beach, S.R., Schulz, R., Downs, J., Matthews, J., Barron, B. Seelman, K. (2009). Disability, age, and informational privacy attitudes in quality of life technology applications: Results from a national Web survey. ACM Transactions on Accessible Computing (TACCESS), 2 (1), 1 21.
8. Caine, K.E., Fisk, A.D. Rogers, W.A. (2006). Benefits and privacy concerns of a home equipped with a visual sensing system: A perspective from older adults. Proceedings of the Human Factors and Ergonomics Society, 50th Annual Meeting (pp. 180-184).
9. Card, S.K., Moran, T.P. Newell, A. (1983). The psychology of human-computer interaction. Hillsdale, NJ : Erlbaum.
10. Carstensen, L.L. Mikels, J.A. (2005). At the intersection of emotion and cognition: Aging and the positivity effect. Current Directions in Psychological Science, 14, 117 121.
11. Charness, N. (2008). Technology as multiplier effect for an aging work force. In K.W. Schaie R. Abeles (Eds.), Social structures and aging individuals: Continuing challenges (pp. 167 192). New York : Springer.
12. Charness, N., Kelley, C.L., Bosman, E.A. Mottram, M. (2001). Word processing training and retraining: Effects of adult age, experience, and interface. Psychology and Aging, 16, 110 127.
13. Coughlin, J.F., Pope, J.E. Leedle, B.R. Jr. (2006). Old age, new technology, and future innovations in disease management and home health care. Home Health Care Management & Practice, 18, 196 207.
14. Czaja, S.J., Charness, N., Fisk, A.D., Hertzog, C., Nair, S.N., Rogers, W.A. Sharit, J. (2006). Factors predicting the use of technology: Findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychology and Aging, 21, 333 352.
15. Czaja, S.J. Lee, C.C. (2007). Information technology and older adults. In J.A. Jacko A. Sears (Eds.), The human-computer interaction handbook (2nd ed., pp. 777 792). New York : Erlbaum.
16. Ellis, R.D. Allaire, J. (1999). Modeling computer interest in older adults: The role of age, education, computer knowledge, and computer anxiety. Human Factors, 41, 345 355.
17. Fisk, A.D., Rogers, W.A., Charness, N., Czaja, S.J. Sharit, J. (2009). Designing for older adults: Principles and creative human factors approaches (2nd ed Boca Raton, FL : CRC Press.
18. Jastrzembski, T.S. Charness, N. (2007). The Model Human Processor and the older adult: Parameter estimation and validation within a mobile phone task. Journal of Experimental Psychology: Applied, 13, 224 248.
19. Mahncke, H.W., Connor, B.B., Appelman, J., Ahsanuddin, O.N, Hardy, J.L., Wood, R.A., et al 2006). Memory enhancement in healthy older adults using a brain plasticity-based training program: A randomized, controlled study. Proceedings of the National Academy of Sciences, USA, 103, 12523 12528.
20. Melenhorst, A., Rogers, W.A. Bouwhuis, D.G. (2006). Older adults' motivated choice for technological innovation: Evidence for benefit-driven selectivity. Psychology and Aging, 21, 190 195.
21. Rogers, W.A., Meyer, B., Walker, N. Fisk, A.D. (1998). Functional limitations to daily living tasks in the aged: A focus group analysis. Human Factors, 40, 111 125.
22. Rogers, W.A., Stronge, A.J. Fisk, A.D. (2006). Technology and aging. In R.S. Nickerson (Ed.), Reviews of human factors and ergonomics (Vol. 1, pp. 130 171). Santa Monica, CA : Human Factors and Ergonomics Society.
23. Smith, G.E., Housen, P., Yaffe, K., Ruff, R., Kennison, R.F., Mahncke, H.W. Zelinski, E.M. (2009). A cognitive training program based on principles of brain plasticity: Results from the Improvement in Memory with Plasticity-based Adaptive Cognitive Training (IMPACT) study. Journal of the American Geriatrics Society, 57, 594 603.
24. Stine-Morrow, E.A.L. (2007). The Dumbledore hypothesis of cognitive aging. Current Directions in Psychological Science, 16, 295 299.