AQUIRE: Applied qualitative use of interrelated entities — Methodology for analysing qualitative data in HCI

Sanjay Tripathi
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Abstract

Industrial software user experience research tends to use more qualitative research in order to gain much knowledge about their users. There are number of analysis techniques originated from other domains like social science and psychology, available to analyse the qualitative dataset gathered during field studies. Human Computer Interaction researchers have tried and using some or combination of those techniques. Since these techniques have evolved basically in academia research, it offers a rigorous process and needs certain level of expertise in using them. In industrial software user experience research, where research projects are very much applied in nature and having shorter project life cycle, often putting difficulties before the practitioners in using that rigorous analysis process. This paper presents an innovative, simple to use and systematic way of analyzing qualitative data set in shorter period of time. The presented methodology uses applied qualitative use of interrelated entities gathered in terms of narrative data set for analysing the results.
相关实体的定性应用- HCI中定性数据分析的方法学
工业软件用户体验研究倾向于使用更多的定性研究,以获得更多关于用户的知识。有许多来自其他领域的分析技术,如社会科学和心理学,可用于分析在实地研究中收集的定性数据集。人机交互研究人员已经尝试使用这些技术的一些或组合。由于这些技术基本上是在学术研究中发展起来的,因此它提供了一个严格的过程,并且需要一定程度的专业知识来使用它们。在工业软件用户体验研究中,研究项目在本质上是非常应用的,并且具有较短的项目生命周期,通常在使用严格的分析过程时给实践者带来困难。本文提出了一种在较短时间内分析定性数据集的新颖、简单、系统的方法。所提出的方法使用应用定性使用在叙事数据集方面收集的相互关联的实体来分析结果。
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