Comparison of three one-question, post-task usability questionnaires

Comparison of three one-question, post-task usability questionnaires
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三个单问题、任务后可用性调查问卷的比较

DOI:
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发表时间:
2009
期刊:
International Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
J. Dumas
J. Dumas
中科院分区:
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文献类型:
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作者:
Jeff Sauro;J. Dumas

文献摘要

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可用性测试中的任务后难度评级有可能提供诊断信息,并成为用户满意度的额外衡量标准。但评级需要可靠,以及易于使用的受访者和研究人员。在一项研究中,26名参与者尝试使用两种软件应用程序执行相同的五项任务,比较了三种单问题评级类型。这些类型是李克特量表、可用性量值估计(UME)判断和主观脑力劳动问题(SMEQ)。所有三种类型都可以区分26名参与者的应用程序,但Likert和SMEQ类型在样本量较小的情况下更敏感。Likert和SMEQ类型都易于学习和快速执行。SMEQ问题的在线版本与其他措施高度相关,对Likert问题类型具有同等敏感性。
Post-task ratings of difficulty in a usability test have the potential to provide diagnostic information and be an additional measure of user satisfaction. But the ratings need to be reliable as well as easy to use for both respondents and researchers. Three one-question rating types were compared in a study with 26 participants who attempted the same five tasks with two software applications. The types were a Likert scale, a Usability Magnitude Estimation (UME) judgment, and a Subjective Mental Effort Question (SMEQ). All three types could distinguish between the applications with 26 participants, but the Likert and SMEQ types were more sensitive with small sample sizes. Both the Likert and SMEQ types were easy to learn and quick to execute. The online version of the SMEQ question was highly correlated with other measures and had equal sensitivity to the Likert question type.