e-Informatica Software Engineering Journal Examining Correlations in Usability Data to Effectivize Usability Testing

Examining Correlations in Usability Data to Effectivize Usability Testing

Jeff Winter, Mark Hinely
Abstract
Based on a case study performed in industry, this work deals with a statistical analysis of data collected during usability testing. The data is from tests performed by usability testers from two companies in two different countries. One problem in the industrial situation is the scarcity of testing resources, and a need to use these resources in the most efficient way. Therefore, the data from the testing is analysed to see whether it is possible to measure usability on the basis of one single metric, and whether it is possible to judge usability problems on the basis of the distribution of use case completion times. This would allow test leaders to concentrate on situations where there are obvious problems. We find that it is not possible to measure usability through the use of one metric, but that it may be possible to gain indications of usability problems on the basis of an analysis of time taken to perform use cases. This knowledge would allow the collection of usability data from distributed user groups, and a more efficient use of scarce testing resources.
[1]Jeff Winter and Mark Hinely, "Examining Correlations in Usability Data to Effectivize Usability Testing", In e-Informatica Software Engineering Journal, vol. 5, pp. 25–37, 2011. DOI: 10.2478/v10233-011-0028-y.

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