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可用性评估的生态效度:越多就越好吗?

Usability Evaluation Ecological Validity: Is More Always Better?

作者信息

Marcilly Romaric, Monkman Helen, Pelayo Sylvia, Lesselroth Blake J

机构信息

Univ. Lille, CHU Lille, ULR 2694-METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France.

Inserm, CIC-IT 1403, F-59000 Lille, France.

出版信息

Healthcare (Basel). 2024 Jul 16;12(14):1417. doi: 10.3390/healthcare12141417.

Abstract

BACKGROUND

The ecological validity associated with usability testing of health information technologies (HITs) can affect test results and the predictability of real-world performance. It is, therefore, necessary to identify conditions with the greatest effect on validity.

METHOD

We conducted a comparative analysis of two usability testing conditions. We tested a HIT designed for anesthesiologists to detect pain signals and compared two fidelity levels of ecological validity. We measured the difference in the number and type of use errors identified between high and low-fidelity experimental conditions.

RESULTS

We identified the same error types in both test conditions, although the number of errors varied as a function of the condition. The difference in total error counts was relatively modest and not consistent across levels of severity.

CONCLUSIONS

Increasing ecological validity does not invariably increase the ability to detect use errors. Our findings suggest that low-fidelity tests are an efficient way to identify and mitigate usability issues affecting ease of use, effectiveness, and safety. We believe early low-fidelity testing is an efficient but underused way to maximize the value of usability testing.

摘要

背景

与健康信息技术(HIT)可用性测试相关的生态效度会影响测试结果以及实际性能的可预测性。因此,有必要确定对效度影响最大的条件。

方法

我们对两种可用性测试条件进行了比较分析。我们测试了一款为麻醉师设计的用于检测疼痛信号的HIT,并比较了生态效度的两个保真度水平。我们测量了高保真和低保真实验条件下识别出的使用错误的数量和类型差异。

结果

我们在两种测试条件下都识别出了相同的错误类型,尽管错误数量因条件而异。总错误计数的差异相对较小,且在严重程度级别上不一致。

结论

提高生态效度并不一定会增加检测使用错误的能力。我们的研究结果表明,低保真测试是识别和缓解影响易用性、有效性和安全性的可用性问题的有效方法。我们认为早期的低保真测试是一种有效但未得到充分利用的方法,可以最大限度地提高可用性测试的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8367/11276482/63f3e398ed42/healthcare-12-01417-g001.jpg

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