Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks
Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J., Belkin

TL;DR
The paper introduces reading protocol software that analyzes eye tracking data at the textual level using HTML structure, enabling large-scale, detailed analysis of gaze behavior in interactive information retrieval experiments.
Contribution
It presents a novel software tool that simplifies and enhances the analysis of eye tracking data in IIR experiments by leveraging web page HTML structure.
Findings
Enables identification of viewed and read content on web pages.
Allows filtering of AOIs based on HTML structure.
Supports comparison of gaze data across multiple users.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGaze Tracking and Assistive Technology · Visual Attention and Saliency Detection
