IntenSelect
A selection cone that ranks objects by a score accumulated over time from their distance to the cone axis.
How it works
Objects inside the cone gain score while they stay near its axis and lose it when they leave. The highest-scoring object is highlighted with a bending ray and selected on a button press.
Papers
- Ferran Argelaguet, Carlos Andujar (2013). A survey of 3D object selection techniques for virtual environments. Computers & Graphics doi:10.1016/j.cag.2012.12.003
- G. de Haan, M. Koutek, F. H. Post (2005). IntenSelect: using dynamic object rating for assisting 3D object selection. doi:10.2312/EGVE/IPT_EGVE2005/201-209
- Susu Huang, Daqing Qi, Jiabin Yuan, Huawei Tu (2019). Review of studies on target acquisition in virtual reality based on the crossing paradigm. Virtual Reality & Intelligent Hardware doi:10.3724/sp.j.2096-5796.2019.0006
- Jan Leusmann (2021). A Literature Review on Distant Object Selection Methods. Master's thesis, University of Stuttgart doi:10.18419/opus-12060
- Matthias Weise, Raphael Zender, Ulrike Lucke (2019). A Comprehensive Classification of 3D Selection and Manipulation Techniques. Proceedings of Mensch und Computer 2019 doi:10.1145/3340764.3340777
- Wang, Qiu, Li, Liu, Wei, Chen, Wang, Fan (2025). FocalSelect: Improving Occluded Objects Acquisition with Heuristic Selection and Disambiguation in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics 31(5), 3285-3295 doi:10.1109/TVCG.2025.3549554
- René Weller, Waldemar Wegele, Christoph Schröder, Gabriel Zachmann (2021). LenSelect: Object Selection in Virtual Environments by Dynamic Object Scaling. Frontiers in Virtual Reality 2, 684677 doi:10.3389/frvir.2021.684677
- Yiqin Lu, Chun Yu, Yuanchun Shi (2020). Investigating Bubble Mechanism for Ray-Casting to Improve 3D Target Acquisition in Virtual Reality. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) doi:10.1109/vr46266.2020.00021