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Age Differences in Attitudes Toward Computers
Abstract
It is commonly believed that older adults hold more negative attitudes toward computer technology than younger people. This study examined age differences in attitudes toward computers as a function of experience with computers and computer task characteristics. A sample of 384 community-dwelling adults ranging in age from 20 to 75 years performed one of three real-world computer tasks (data entry, database inquiry, accounts balancing) for a 3-day period. A multidimensional computer attitude scale was used to assess attitudes toward computers pretask and posttask. Although there were no age differences in overall attitudes, there were age effects for the dimensions of comfort, efficacy, dehumanization, and control. In general, older people perceived less comfort, efficacy, and control over computers than did the other participants. The results also indicated that experience with computers resulted in more positive attitudes for all participants across most attitude dimensions. These effects were moderated by task and gender. Overall, the findings indicated that computer attitudes are modifiable for people of all age groups. However, the nature of computer experience has an impact on attitude change.
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“The lack of motivation, experience, knowledge, access, understanding, and usability also challenge the adoption of technologies [14].”
From Design Guidelines of Mobile Apps for Older Adults: Systematic Review and Thematic Analysis (2023) · cites this paper as [14]
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“An earlier study indicated that older people (60-75 years) perceived less comfort, efficacy and control over computers relative to younger participants, however, direct experience with computers resulted in more positive attitudes (Czaja and Sharit, 1998).”
From Older Adults Perceptions of Technology and Barriers to Interacting with Tablet Computers: A Focus Group Study (2017) · cites this paper as Czaja and Sharit, 1998
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“Czaja and Sharit (1998) reported that women found computers more dehumanizing following task experience; however, women also experienced a greater sense of comfort following task experience compared with men.”
From Older Adults Perceptions of Technology and Barriers to Interacting with Tablet Computers: A Focus Group Study (2017) · cites this paper as Czaja and Sharit, 1998
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research
(1988) · Advances in Psychology · doi:10.1016/s0166-4115(08)62386-9 · Cited by 15,003
Handbook of Human-Computer Interaction
(1988) · Elsevier eBooks · doi:10.1016/c2009-0-12113-x · Cited by 2,058
An inventory for the measurement of self‐reported stress and arousal
Mackay, C., Cox, T., Burrows, G., & Lazzerini, T. (1978) · British Journal of Social and Clinical Psychology · doi:10.1111/j.2044-8260.1978.tb00280.x · Cited by 533
On the consistency between attitudes and behavior: Look to the method of attitude formation
Regan, D. T., & Fázio, R. H. (1977) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(77)90011-7 · Cited by 393
Designing Experiments and Analysing Data.
Morrey, G. H., Maxwell, S. E., & Delaney, H. D. (1991) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2347533 · Cited by 370
Designing Experiments and Analyzing Data.
Percy, D. F., Maxwell, S. E., & Delaney, H. D. (1991) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348301 · Cited by 307
Age Differences in Computer Anxiety: The Role of Computer Experience, Gender and Education
Dyck, J. L., & Smither, J. A.-A. (1994) · Journal of Educational Computing Research · doi:10.2190/e79u-vcrc-el4e-hryv · Cited by 306
The nature of job-related age stereotypes.
Rosen, B., & Jerdee, T. H. (1976) · Journal of Applied Psychology · doi:10.1037/0021-9010.61.2.180 · Cited by 250
Influence of Direct Computer Experience on Older Adults' Attitudes Toward Computers
Jay, G., & Willis, S. L. (1992) · Journal of Gerontology · doi:10.1093/geronj/47.4.p250 · Cited by 230
Research works printed but not linked: 3
- Derogatis, L. R. (1977). SCL-90R (Rev. ed.) [Manual. Baltimore, MD: John Hopkins University School of Medicine, Clinical Pychometrics Unit.
- Edwards, R., & Engelhardt, K. G. (1989). Microprocessor-based innova- tions and older individuals: AARP survey results and their implications for service robotics. International Journal of Technology and Aging, 2, 56-76.
- Sharit, I , Czaja, S. J., Nair, S. N., Hoag, D. W., Leonard, D. C , & Dilsen, consumers. Journal of Retailing, 63, 49-68.
Cited by
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Hoff, K. A., & Bashir, M. (2015) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814547570 · Cited by 2,817
Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.2.333 · Cited by 2,113
Self-citationTechnology acceptance model for wireless Internet
Lu, J., Yu, C., Liu, C., & Yao, J. E. (2003) · Internet Research · doi:10.1108/10662240310478222 · Cited by 1,038
Vaportzis, E., Giatsi Clausen, M., & Gow, A. J. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01687 · Cited by 916
“Czaja and Sharit (1998) reported that women found computers more dehumanizing following task experience; however, women also experienced a greater sense of comfort following task experience compared with men.”
BackgroundAcceptance of Healthcare Robots for the Older Population: Review and Future Directions
Broadbent, E., Stafford, R., & MacDonald, B. (2009) · International Journal of Social Robotics · doi:10.1007/s12369-009-0030-6 · Cited by 887
Choi, N. G., & DiNitto, D. M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2645 · Cited by 871
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Wagner, N., Hassanein, K., & Head, M. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.029 · Cited by 678
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Or, C. K. L., & Karsh, B.-T. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2888 · Cited by 586
Awa, H. O., Ojiabo, O. U., & Emecheta, B. C. (2015) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-04-2014-0012 · Cited by 525
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Phang, C. W., Sutanto, J., Kankanhalli, A., Li, Y., Tan, B. C. Y., & Teo, H.-H. (2006) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2006.883710 · Cited by 331
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Edwards, J. D., Wadley, V. G., Vance, D. E., Wood, K., Roenker, D. L., & Ball, K. (2005) · Aging & Mental Health · doi:10.1080/13607860412331336788 · Cited by 321
Pan, S., & Jordan-Marsh, M. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.015 · Cited by 300
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Anderson, N. R. (2003) · International Journal of Selection and Assessment · doi:10.1111/1468-2389.00235 · Cited by 253
Ellis, R. D., & Allaire, J. C. (1999) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872099779610996 · Cited by 243
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Lievens, F., & Harris, M. M. (2003) · Wiley eBooks · doi:10.1002/0470013346.ch4 · Cited by 172
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Hart, T. A., Chaparro, B. S., & Halcomb, C. G. (2006) · Behaviour and Information Technology · doi:10.1080/01449290600802031 · Cited by 149
Nguyen, H. Q., Carrieri-Kohlman, V., Rankin, S. H., Slaughter, R., & Stulbarg, M. S. (2004) · Computers in Biology and Medicine · doi:10.1016/s0010-4825(03)00046-5 · Cited by 147
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Bachman, J. W. (2003) · Mayo Clinic Proceedings · doi:10.4065/78.1.67 · Cited by 145
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Sylva, H., & Mol, S. T. (2009) · International Journal of Selection and Assessment · doi:10.1111/j.1468-2389.2009.00473.x · Cited by 149
Torp, S., Hanson, E., Hauge, S., Ulstein, I., & Magnusson, L. (2007) · Health & Social Care in the Community · doi:10.1111/j.1365-2524.2007.00725.x · Cited by 129
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Niemelä-Nyrhinen, J. (2007) · Journal of Consumer Marketing · doi:10.1108/07363760710773120 · Cited by 125
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Fazeli, P. L., Ross, L. A., Vance, D. E., & Ball, K. (2012) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbs071 · Cited by 62
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Leitão, R., & Silva, P. A. (2012) · Maynooth University ePrints and eTheses Archive (Maynooth University) · doi:10.5555/2821679.2831275 · Cited by 45
Metadata
- Authors
- Czaja, S. J., & Sharit, J.
- Affiliations
- University of Miami (US)
- Corresponding author
- Czaja, S. J.
- Venue
- The Journals of Gerontology Series B: Psychological Sciences and Social Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-09-01
- Volume
- 53B
- Issue
- 5
- Pages
- P329-P340
- ISSN
- 1079-5014 (ISSN-L)
- 1758-5368
- OpenAlex
- W2104988505
- Cited by
- 380
- References
- 26
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 9 · 2023: 9 · 2022: 13 · 2021: 15 · 2020: 14 · 2019: 15 · 2018: 17 · 2017: 13 · 2016: 15 · 2015: 23 · 2014: 18 · 2013: 19 · 2012: 24
- FWCI
- 20.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journals of Gerontology Series B (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Miami
- National Institutes of Health (5p50ag011748-05)
- National Institute on Aging (AG11748-05)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- age differences, attitudes toward computers, older adults, computer experience, dehumanization, perceived control, attitude change, gender differences, community-dwelling adults
- MeSH terms
- Adult, Age Factors, Aged, Attitude to Computers, Computer Literacy, Female, Humans, Male, Middle Aged, Sex Factors, Stress, Physiological, Task Performance and Analysis, Workload
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