The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Damaged Merchandise? A Review of Experiments That Compare Usability Evaluation Methods
Abstract
An interest in the design of interfaces has been a core topic for researchers and practitioners in the field of human-computer interaction (HCI); an interest in the design of experiments has not. To the extent that reliable and valid guidance for the former depends on the results of the latter, it is necessary that researchers and practitioners understand how small features of an experimental design can cast large shadows over the results and conclusions that can be drawn. In this review we examine the design of 5 experiments that compared usability evaluation methods (UEMs). Each has had an important influence on HCI thought and practice. Unfortunately, our examination shows that small problems in the way these experiments were designed and conducted call into serious question what we thought we knew regarding the efficacy of various UEMs. If the influence of these experiments were trivial, then such small problems could be safely ignored. Unfortunately, the outcomes of these experiments have been used to justify advice to practitioners regarding their choice of UEMs. Making such choices based on misleading or erroneous claims can be detrimental-compromising the quality and integrity of the evaluation, incurring unnecessary costs, or undermining the practitioner's credibility within the design team. The experimental method is a potent vehicle that can help inform the choice of a UEM as well as help to address other HCI issues. However, to obtain the desired outcomes, close attention must be paid to experimental design.
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
The Usability Engineering Lifecycle
NIELSEN, J. (1993) · Usability Engineering · doi:10.1016/b978-0-08-052029-2.50007-3 · Cited by 2,657
Enhancing the explanatory power of usability heuristics
Nielsen, J. (1994) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/191666.191729 · Cited by 1,439
The GOMS family of user interface analysis techniques: comparison and contrast
John, B. E., & Kieras, D. E. (1996) · ACM Transactions on Computer-Human Interaction · doi:10.1145/235833.236054 · Cited by 687
Sample sizes for usability studies: Additional considerations
Lewis, J. R. (1994) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872089403600215 · Cited by 341
Cited by
Jaspers, M. W. M. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.10.002 · Cited by 649
Bargas-Avila, J. A., & Hornbæk, K. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979336 · Cited by 660
GRAY, W. (2004) · Cognitive Science · doi:10.1016/s0364-0213(04)00005-9 · Cited by 321
Self-citationFrom Mice to Men - 24 Years of Evaluation in CHI
Barkhuus, L., & Rode, J. A. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.2180963 · Cited by 180
Developing usable Web sites – a review and model
Cunliffe, D. (2000) · Internet Research · doi:10.1108/10662240010342577 · Cited by 126
Metadata
- Authors
- Gray, W. D., & Salzman, M. C.
- Venue
- Human–Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 1998-09
- Volume
- 13
- Issue
- 3
- Pages
- 203-261
- ISSN
- 0737-0024 (ISSN-L)
- 1532-7051
- OpenAlex
- W2083939386
- Cited by
- 488
- References
- 4
- FWCI
- 23.62
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.