ABSTRACT

As it covers a wide spectrum, the research literature of human-computer interaction (HCI) studies has a rich and multi-disciplinary content where there are limited studies demonstrating the big picture of the field. Such an analysis provides researchers with a better understanding of the field, revealing current issues, challenges, and potential research gaps. This study aims to explore the research trends in the developmental stages of the HCI studies over the past 60 years. Automated text mining with probabilistic topic modeling has been used to analyze 41,720 journal articles that are indexed by the SCOPUS database between 1957 and 2018. The results of this study reveal 21 major topics mapping the research landscape of HCI. By extending the discovered topics beyond a snapshot, the topics were analyzed considering their developmental stages, volume, and accelerations to provide a panoramic view that shows the increase and decrease of trends over time. In this context, the transition of HCI studies from machine-oriented systems to human-oriented systems indicates its future direction toward context-aware adaptive systems.

摘要

人机交互（HCI）研究的研究范围很广，具有丰富而多学科的内容，其中有限的研究表明该领域的概况。这样的分析为研究人员提供了对该领域的更好的了解，揭示了当前的问题，挑战和潜在的研究差距。这项研究旨在探讨过去60年中人机交互研究发展阶段的研究趋势。带有概率主题建模的自动文本挖掘已被用来分析41,720篇期刊文章，这些文章在1957年至2018年之间被SCOPUS数据库收录。这项研究的结果揭示了21个主要主题，它们映射了人机交互的研究领域。通过将发现的主题扩展到快照之外，分析了主题的发展阶段，量和加速度以提供全景图，以显示随时间变化趋势的增加和减少。在这种情况下，HCI研究从面向机器的系统向面向人的系统的过渡表明了其未来朝向面向上下文的自适应系统的方向。