The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Usability measurement in context
Abstract
Different approaches to the measurement of usability are reviewed and related to definitions of usability in international standards. It is concluded that reliable measures of overall usability can only be obtained by assessing the effectiveness, efficiency and satisfaction with which representative users carry out representative tasks in representative environments.This requires a detailed understanding of the context of use of a product. The ESPRIT MUSiC project has developed tools which can be used to measure usability in the laboratory and the field. An overview is given of the methods and tools for measuring user performance, cognitive workload, and user perceived quality.
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Citations
Cites
The Usability Engineering Lifecycle
NIELSEN, J. (1993) · Usability Engineering · doi:10.1016/b978-0-08-052029-2.50007-3 · Cited by 2,657
The keystroke-level model for user performance time with interactive systems
Card, S. K., Moran, T. P., & Newell, A. (1980) · Communications of the ACM · doi:10.1145/358886.358895 · Cited by 1,174
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Cited by
Methods to support human-centred design
MAGUIRE, M. (2001) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.2001.0503 · Cited by 1,057
State of science: mental workload in ergonomics
Young, M. S., Brookhuis, K. A., Wickens, C. D., & Hancock, P. A. (2015) · Ergonomics · doi:10.1080/00140139.2014.956151 · Cited by 948
Intelligent agent transparency in human–agent teaming for multi-UxV management
Mercado, J. E., Rupp, M. A., Chen, J. Y. C., Barnes, M. J., Barber, D., & Procci, K. (2016) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720815621206 · Cited by 403
A survey of software learnability: metrics, methodologies and guidelines
Grossman, T., Fitzmaurice, G., & Attar, R. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518803 · Cited by 322
A Survey on Measuring Cognitive Workload in Human-Computer Interaction
Kosch, T., Karolus, J., Zagermann, J., Reiterer, H., Schmidt, A., & Woźniak, P. W. (2023) · ACM Computing Surveys · doi:10.1145/3582272 · Cited by 304
“We built our literature corpus by systematically identifying relevant papers through a keyword search in all proceedings and journals related to the field of HCI.”
Metadata
- Authors
- BEVAN, N., & MACLEOD, M.
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 1994-01
- Volume
- 13
- Issue
- 1-2
- Pages
- 132-145
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W2165031063
- Cited by
- 455
- References
- 2
- FWCI
- 17.43
- Type
- journal article
- Language
- en
- Open access
- closed
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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.