阅读协议：理解交互式信息检索任务中的阅读内容
Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks
摘要：
在交互式信息检索（IIR）实验中，用户在网页上的注视运动通常是通过眼动追踪来记录的。这些数据用于分析凝视行为或识别用户查看的感兴趣区域（AOI）。到目前为止，用于分析眼动追踪数据的工具在支持IIR实验中的注视行为分析方面具有一定的局限性。实验通常由大量不同的访问网页组成。在现有的分析工具中，数据只能在视频或图像中进行分析，每个网页的AOI必须手动指定，这是一个非常耗时的过程。在这项工作中，我们提出了阅读协议的软件，打破眼动追踪数据到文本级别考虑的HTML结构的网页。这对分析师来说有很多好处。首先，它可以很容易地在大规模上识别出受试者在刺激页面上实际观看和阅读的内容。第二，可以使用网页结构来过滤AOI。第三，多个用户的注视数据可以呈现在同一页面上，第四，文本上的注视时间可以导出并在其他工具中进一步处理。我们介绍了软件，它的验证，并从三个现有的IIR实验数据的示例用例。
英文摘要：
In Interactive Information Retrieval (IIR) experiments the user's gaze motion on web pages is often recorded with eye tracking. The data is used to analyze gaze behavior or to identify Areas of Interest (AOI) the user has looked at. So far, tools for analyzing eye tracking data have certain limitations in supporting the analysis of gaze behavior in IIR experiments. Experiments often consist of a huge number of different visited web pages. In existing analysis tools the data can only be analyzed in videos or images and AOIs for every single web page have to be specified by hand, in a very time consuming process. In this work, we propose the reading protocol software which breaks eye tracking data down to the textual level by considering the HTML structure of the web pages. This has a lot of advantages for the analyst. First and foremost, it can easily be identified on a large scale what has actually been viewed and read on the stimuli pages by the subjects. Second, the web page structure can be used to filter to AOIs. Third, gaze data of multiple users can be presented on the same page, and fourth, fixation times on text can be exported and further processed in other tools. We present the software, its validation, and example use cases with data from three existing IIR experiments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
