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

本研究旨在开发人类行为数据（包括眼动）为基础的分析方法，使我们能够揭示认知/心理过程，在执行特定的工作，基于人机交互。这是由工业工程的角度，一直追求明确的方法，使我们能够找到工作系统中要解决的操作问题的动机。这项研究的主要挑战是获得的行为数据变得巨大，并且它们涉及许多噪音。这一事实意味着，需要一些想法来有效地引出与认知/心理过程相关的有用信息。在个案研究中，应用改良的方法分析一家医院的临床工程师的工作。结果表明，眼动、注意分配和学习过程之间存在一定的关系。

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.