论文标题
HCI中的十年信息架构:系统文献综述
A Decade of Information Architecture in HCI: A Systematic Literature Review
论文作者
论文摘要
信息体系结构(IA)是网站或其他信息丰富环境中信息系统的蓝图。它与我们如何组织,标签和结构信息相对应。在文献中广泛讨论了信息体系结构及其对系统可用性的影响的重要性。由于信息体系结构概念与人类计算机交互(HCI)字段之间的固有联系,我们决定研究以前的研究如何在人类计算机交互(IAINHCI)的背景下使用信息体系结构。为了做到这一点,我们遵循了两个阶段的过程。首先,我们进行了系统的文献综述(SLR)。我们询问了ACM和IEEE数据库。我们过滤并评估了311篇论文,这些论文涵盖了有关信息架构的十年研究。我们发现了25篇论文在人类计算机交互的背景下利用信息体系结构。然后,我们使用SLR结果纸作为起始集遵循了背景参考搜索过程。我们评估了所有25篇论文的参考列表的资格,并找到了与我们的研究问题相关的八篇论文。我们评论的结果表明,从物联网到语义网和无处不在的技术,Iainhci论文属于七个主要类别。但是,这些年来,网站类别既是最一致的,也是最普遍的类别,占论文的67%。我们的发现表明,IA尚未发现其全部潜力,并且仍然有研究空间来利用和消耗IA知识基础,这有望在信息体系结构中获得繁荣的未来。
Information Architecture (IA) is a blueprint for the information system in websites or other information-rich environments. It corresponds to how we organize, label and structure information. The importance of Information Architecture and its influence on a system's usability is vastly discussed in literature. Because of the inherent connection between Information Architecture concepts and the Human Computer Interaction (HCI) field, we decided to investigate how previous research has used Information Architecture in the context of Human Computer Interaction (IAinHCI). In order to do that, we followed a two phase process. First, we conducted a Systematic Literature Review (SLR). We queried both the ACM and IEEE databases. We filtered and assessed 311 papers that spanned a decade of research on Information Architecture. We found 25 papers that utilized Information Architecture in the context of Human Computer Interaction. Then, we followed a Background Reference Search process using the SLR resulting papers as a starting set. We assessed the eligibility of the reference list of all 25 papers and found eight additional papers that were relevant to our research question. Results of our review show that, IAinHCI papers fall under seven main categories, from IoT to the semantic web and ubiquitous technology. The website category, however, was both the most consistent over the years and the most prevalent category accounting for 67% of the papers. Our findings suggest that IA has not yet uncovered its full potential and there is still room for research to leverage and expend the IA knowledge base promising a prosperous future for Information Architecture.