巴西计算机系统中的人为因素专题讨论会采用经验评价的概况

Adson R. P. Damasceno, Andressa Ferreira, Eliakim Gama, J. Moraes, Lucas Vieira Alves, Marx Haron Barbosa, M. Chagas, E. S. S. Freire, M. Cortés
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引用次数: 2

摘要

背景:实证评估作为一种形式主义被广泛应用于验证和确保研究工作的可信度。在人机交互(HCI)领域的背景下,经验方法的使用起着至关重要的作用,因为它侧重于评估最终用户和软件解决方案的可用性。尽管近年来实验评价技术得到了广泛的应用,但其应用仍受到定性和定量的质疑。目的:分析实证研究如何在巴西的人机交互社区中发展。方法:我们进行了一个准实验,使用了巴西计算机系统中人因研讨会上发表的17个版本的论文。我们的实验分为两个阶段,分别用于评价质量评价和对实现的实证研究类型进行分类。结果:在231个研究样本中,113个在第一阶段达到满意的质量。研究发现,在会议的最后几年,实证研究越来越普遍。此外,在第二阶段,通过比较20年会议期间的两个不同部门,我们以95%的置信度发现,实证研究的质量有所提高。研究结果:本研究使用的评估问卷和各类实证研究的经验教训可以支持在人力资源管理领域开展新的实证评估,提高实证评估的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A landscape of the adoption of empirical evaluations in the brazilian symposium on human factors in computing systems
Context: Empirical evaluations have been widely applied as a formalism to validate and ensure the credibility of research works. In the context of Human-Computer Interaction (HCI) field, the usage of empirical methods plays a vital role due to its focus on evaluating the end-user and usability of software solutions. Even though the adoption of experimental evaluation techniques has gained popularity in recent years, its application is still questioned both qualitatively and quantitatively. Goal: To analyze how empirical research has evolved in the Human-Computer Interaction Brazilian community. Method: We performed a quasi-experiment, using published papers over the 17 editions in Brazilian Symposium on Human Factors in Computing Systems. Our experiment was divided into two phases, in order to evaluate the quality assessment and classify the type of realized empirical study, respectively. Results: From the sample of 231 studies, 113 reached satisfactory quality in the first phase. It was found that empirical studies were becoming more present in lastly years of the conference. Moreover, in the second phase, it was found with 95% confidence that the quality of the empirical studies increased, by comparing two different divisions of the 20-year conference period. Findings: The assessment questionnaire used in our research and the learned lessons about each kind of empirical study can support the conduction of new empirical evaluations in the HCI community, improving their quality.
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