The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Measuring usability: are effectiveness, efficiency, and satisfaction really correlated?
Open accessAbstract
Usability comprises the aspects effectiveness, efficiency, and satisfaction. The correlations between these aspects are not well understood for complex tasks. We present data from an experiment where 87 subjects solved 20 information retrieval tasks concerning programming problems. The correlation between efficiency, as indicated by task completion time, and effectiveness, as indicated by quality of solution, was negligible. Generally, the correlations among the usability aspects depend in a complex way on the application domain, the user's experience, and the use context. Going through three years of CHI Proceedings, we find that 11 out of 19 experimental studies involving complex tasks account for only one or two aspects of usability. When these studies make claims concerning overall usability, they rely on risky assumptions about correlations between usability aspects. Unless domain specific studies suggest otherwise, effectiveness, efficiency, and satisfaction should be considered independent aspect of usability and all be included in usability testing.
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Rasmussen, J. (1983) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1983.6313160 · Cited by 3,434
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
Cited by
An Empirical Evaluation of the System Usability Scale
Bangor, A., Kortum, P. T., & Miller, J. T. (2008) · International Journal of Human–Computer Interaction · doi:10.1080/10447310802205776 · Cited by 5,181
Current practice in measuring usability: Challenges to usability studies and research
Hornbæk, K. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2005.06.002 · Cited by 1,123
Self-citationChallenges, Methodologies, and Issues in the Usability Testing of Mobile Applications
Zhang, D., & Adipat, B. (2005) · International Journal of Human-Computer Interaction · doi:10.1207/s15327590ijhc1803_3 · Cited by 613
Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., & Kirschner, P. A. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.004 · Cited by 283
Borsci, S., Malizia, A., Schmettow, M., van der Velde, F., Tariverdiyeva, G., Balaji, D., & Chamberlain, A. (2022) · Personal and Ubiquitous Computing · doi:10.1007/s00779-021-01582-9 · Cited by 266
Metadata
- Authors
- Frøkjær, E., Hertzum, M., & Hornbæk, K.
- Venue
- Proceedings of the SIGCHI conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2000-04
- Pages
- 345-352
- OpenAlex
- W2087271627
- Cited by
- 650
- References
- 2
- FWCI
- 5.38
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- Frøkjær, E., Hertzum, M., & Hornbæk, K. (2000). Measuring usability: are effectiveness, efficiency, and satisfaction really correlated? Proceedings of the SIGCHI conference on Human Factors in Computing Systems. https://doi.org/10.1145/332040.332455
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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.
