2026-07-22T19:10:17Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:24997 2026-02-09T07:52:40Z ddc:004 open_access

Towards a Better Understanding of Graph Perception in Immersive Environments Zhang, Lin Wang, Yao Zhang, Ying Kerle-Malcharek, Wilhelm Klein, Karsten Schreiber, Falk Bulling, Andreas Stereoscopic 3D Graph Visualisation Eye Tracking Graph Perception As Immersive Analytics (IA) increasingly uses Virtual Reality (VR) for stereoscopic 3D (S3D) graph visualisation, it is crucial to understand how users perceive network structures in these immersive environments. However, little is known about how humans read S3D graphs during task solving, and how gaze behaviour indicates task performance. To address this gap, we report a user study with 18 participants asked to perform three analytical tasks on S3D graph visualisations in a VR environment. Our findings reveal systematic relationships between network structural properties and gaze behaviour. Based on these insights, we contribute a comprehensive eye tracking methodology for analysing human perception in immersive environments and establish eye tracking as a valuable tool for objectively evaluating cognitive load in S3D graph visualisation. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Lin Zhang and Yao Wang and Ying Zhang and Wilhelm Kerle-Malcharek and Karsten Klein and Falk Schreiber and Andreas Bulling 2025 Is Part Of LIPIcs, Volume 357, 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GD.2025.11 urn:nbn:de:0030-drops-249976 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2025.11 eng https://creativecommons.org/licenses/by/4.0/legalcode