The Visitor and Kangaroo constitute the first large-scale Yarbus replication benchmark dataset for sequential gaze analysis. The Visitor dataset contains eye-tracking recordings from 144 participants who viewed the same painting under seven task conditions, closely replicating the classical Yarbus paradigm in a controlled laboratory setting. Semantically defined Areas of Interest (AOIs) enable systematic analysis of gaze transitions, revisit dynamics, and scanpath sequences across tasks and individuals. The complementary Kangaroo dataset includes logic problem stimuli supporting independent investigation of visual problem-solving strategies. Data are released in open formats with raw, event-level, and AOI-based exports, providing a reproducible resource for methodological and cognitive research on task-driven attention.

research-article Share on Scanpath Comparison using ScanGraph for Education and Learning Purposes: Summary of previous educational studies performed with the use of ScanGraph Authors: Stanislav Popelka Department of Geoinformatics, Palacky University Olomouc, Czech Republic Department of Geoinformatics, Palacky University Olomouc, Czech RepublicView Profile , Marketa Beitlova Department of Geoinformatics, Palacky University Olomouc, Czech Republic and Science and Research Centre, Faculty of Health Sciences, Palacky University Olomouc, Czech Republic Department of Geoinformatics, Palacky University Olomouc, Czech Republic and Science and Research Centre, Faculty of Health Sciences, Palacky University Olomouc, Czech RepublicView Profile Authors Info & Claims ETRA '22: 2022 Symposium on Eye Tracking Research and ApplicationsJune 2022 Article No.: 51Pages 1–6https://doi.org/10.1145/3517031.3529243Online:08 June 2022Publication History 1citation45DownloadsMetricsTotal Citations1Total Downloads45Last 12 Months45Last 6 weeks6 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

The demo describes new features of ScanGraph, an application intended for a finding of participants with a similar stimulus reading strategy based on the sequences of visited Areas of Interest. The result is visualised using cliques of a simple graph. ScanGraph was initially introduced in 2016. Since the original publication, new features were added. First of them is the implementation of Damerau-Levenshtein algorithm for similarity calculation. A heuristic algorithm for cliques finding used in the original version was replaced by the Bron-Kerbosch algorithm. ScanGraph reads data from open-source application OGAMA, and with the use of conversion tool also data from SMI BeGaze, which allows analysing dynamic stimuli as well. The most prominent enhancement is the possibility of similarity calculation among participants not only for a single stimulus but for multiple files at once.