This interactive database aims to capture a snapshot of selection techniques in consumer VR applications.
It is open to community contributions and will be updated with selection entries from new and popular VR applications.
If you find this database and taxonomy useful in your work, please consider citing the publication that this work is a part of:
@inproceedings{maslych2024selectionsdatabase,
author = {Maslych, Mykola and Yu, Difeng and Ghasemaghaei, Amirpouya and
Hmaiti, Yahya and Martinez, Esteban Segarra and Simon, Dominic and
Taranta, Eugene Matthew and Bergstr"{o}m, Joanna and LaViola, Joseph J.},
booktitle = {2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)},
title = {From Research to Practice: Survey and Taxonomy of Object Selection in Consumer VR Applications},
url = {https://www.eecs.ucf.edu/isuelab/publications/pubs/MaslychISMAR2024.pdf},
publisher = {IEEE},
address = {Piscataway, NJ, USA},
location = {Seattle, WA, USA},
series = {ISMAR '24},
pages = {990--999},
doi={10.1109/ISMAR62088.2024.00115},
month = {October},
year = {2024},
}