A Completion Rate Conundrum: Reducing bias in the Single Usability Metric

Carl J. Pearson
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Abstract

In the Single Usability Metric benchmarking method, the calculation of completion rates creates a bias for completion rates by ignoring the z-score transform that is conducted for satisfaction and time-on-task measures. This artificially inflates all ‘good’ scores and marks some ‘poor’ scores as ‘good’. This paper discusses two methods to augment the SUM so that it will accurately calculate completion rates into the final SUM score.
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完成率难题:减少单一可用性度量的偏差
在单一可用性度量基准方法中,完成率的计算通过忽略满意度和任务完成时间度量的z-score转换而产生完成率偏差。这人为地夸大了所有的“好”分数,并将一些“差”分数标记为“好”分数。本文讨论了两种增加SUM的方法,使其能够准确地将完成率计算到最终的SUM分数中。
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