Analysis methodology for HCI cognitive operations based on eyetracking technique combined with behavior analysis approach

这项研究是为了开发人类行为数据(包括基于眼球运动)的分析方法，使我们能够发现在基于人机交互执行特定工作期间的认知/心理过程。这是由工业工程的观点推动的，该观点一直在追求明确的方法，使我们能够在工作系统中找到需要解决的操作问题。这项研究的主要挑战是，获得的行为数据变得巨大，而且它们涉及到许多噪音。这一事实意味着，需要一些想法才能有效地获得与认知/心理过程相关的有用信息。在CA案例研究中，采用了一种改进的方法来分析一家医院的临床工程师的工作。结果表明，眼动、注意力分配和学习过程之间的关系可以被识别。

This study was performed to develop human behavioral data (incl. eye movement)-based analysis methodology that enables us to uncover cognitive/mental processes during performing a specific work based on human computer interaction. This was motivated by Industrial Engineering perspective that has been pursuing explicit methodologies enabling us to find operational problems to be solved in work systems. The primary challenge in this study is the fact that the behavioral data obtained becomes huge, and that they involve many noises. This fact implies that some idea is required to elicit useful information connected with cognitive/mental processes efficiently. In ca case study, a modified methodology was applied to analyze clinical engineers' work at a hospital. As results, relationship among eye movement, attention allocation and learning processes could be identified.