The DOI matches its Crossref record.
Aging, Motor Control, and the Performance of Computer Mouse Tasks
Abstract
Because of the increased presence of computers in work and everyday life and the demographic "graying" of America, there is a need for interface designs that promote accessibility for older people. This study examined age differences in the performance of basic computer mouse control techniques. An additional goal of the study was to examine the influence of age-related changes in psychomotor abilities on mouse control. A total of 60 participants in 3 age groups (20--39 years, 40--59 years, and 60--75 years) performed 4 target acquisition tasks (pointing, clicking, double-clicking, and dragging) using a computer mouse. The data indicated that the older participants had more difficulty performing mouse tasks than the younger participants. Differences in performance attributable to age were found for the more complex tasks (clicking and double-clicking). Furthermore, age-related changes in psychomotor abilities were related to age differences in performance. We discuss applications to computer interface designs. Actual or potential applications of this research include specifications for computer mouse design to accommodate older populations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 14
- 10.1080/00140139508925152 · DOI
- Charness, N., Paper presented at the 103rd Annual Convention of the American Psychological Association Meeting
- 10.1037/1076-898X.4.4.332 · DOI
- Ekstrom, R. B., 1976, Manual for kit factor-referenced cognitive tests
- 10.1093/geronj/49.3.M133 · DOI
- 10.1093/geronb/51B.2.P94 · DOI
- 10.2466/pms.1958.8.3.271 · DOI · Paper page
- Riviere, C. N., 1996, Journal of Rehabilitation Research and Development, 33, 6
- 10.1080/00336297.1995.10484165 · DOI
- 10.1037/0882-7974.11.2.195 · DOI
- Tiffin, J., 1968, Purdue Pegboard Examiner's Test
- Walker, N., Millians, J. & Worden, A. (1996). Mouse accelerations and performance of older computer users. In Proceedings of the Human Factors and Ergonomics Society 40th Annual Meeting (pp. 151–154). Santa Monica, CA: Human Factors and Ergonomics Society. · DOI
- 10.1093/geronb/52B.1.P40 · DOI · Paper page
- Wechsler, D., 1981, Wechsler Memory Scale-Revised Manual
Cited by
Self-report measures of medication adherence behavior: recommendations on optimal use
Stirratt, M. J., Dunbar-Jacob, J., Crane, H. M., Simoni, J. M., Czajkowski, S., Hilliard, M. E., Aikens, J. E., Hunter, C. M., Velligan, D. I., Huntley, K., et al. (2015) · Translational Behavioral Medicine · doi:10.1007/s13142-015-0315-2 · Cited by 824
A Systematic Review of Patient Acceptance of Consumer Health Information Technology
Or, C. K. L., & Karsh, B.-T. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2888 · Cited by 586
Wildenbos, G. A., Peute, L., & Jaspers, M. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.03.012 · Cited by 495
Fat Finger Worries: How Older and Younger Users Physically Interact with PDAs
Siek, K. A., Rogers, Y., & Connelly, K. H. (2005) · Lecture Notes in Computer Science · doi:10.1007/11555261_24 · Cited by 337
On Some Aspects of Improving Mobile Applications for the Elderly
Holzinger, A., Searle, G., & Nischelwitzer, A. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-73279-2_103 · Cited by 196
Metadata
- Authors
- Smith, M. W., Sharit, J., & Czaja, S. J.
- Venue
- Human Factors: The Journal of the Human Factors and Ergonomics Society
- Publisher
- SAGE Publications
- Published
- 1999-09
- Volume
- 41
- Issue
- 3
- Pages
- 389-396
- ISSN
- 0018-7208 (ISSN-L)
- 1547-8181
- OpenAlex
- W2131454267
- Cited by
- 259
- References
- 0
- FWCI
- 7.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Aging, Motor Control, and the Performance of Computer Mouse Tasks. https://app.cochat.ai/papers/10.1518/001872099779611102
- The paper
- Smith, M. W., Sharit, J., & Czaja, S. J. (1999). Aging, Motor Control, and the Performance of Computer Mouse Tasks. Human Factors: The Journal of the Human Factors and Ergonomics Society. https://doi.org/10.1518/001872099779611102
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
