BaggingHook: Selecting Moving Targets by Pruning Distractors Away for Intention-Prediction Heuristics in Dense 3D Environments

• Published in: Proceedings (IEEE Conference on Virtual Reality and 3D User Interfaces. Online) pp. 913 - 923
• Main Authors: Boffi, Paolo, Kouyoumdjian, Alexandre, Waldner, Manuela, Lanzi, Pier Luca, Viola, Ivan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 16.03.2024
• Subjects: Algorithms; AR/VR/Immersive; Dynamics; Error analysis; Heuristic algorithms; Human-Subjects Qualitative Studies; Human-Subjects Quantitative Studies; Interaction Design; Mobile; Solid modeling; Specialized Input/Display Hardware; Three-dimensional displays; User interfaces; Virtual reality

Selecting targets in dense, dynamic 3D environments presents a significant challenge. In this study, we introduce two novel selection techniques based on distractor pruning to assist users in selecting targets moving unpredictably: BaggingHook and AutoBaggingHook. Both are built upon the Hook intent...