Database of Selection Techniques in Consumer VR Applications

This interactive database contains a taxonomy with examples and scenarios where selections occur in 200+ consumer VR applications. The goal of this work is to connect the research and literature on VR selection methodology with implementations in-practice. The research paper was presented at IEEE ISMAR 2024.

Contributing to the database

Community contributions are welcome! Please open a pull request with changes to data_website.csv file. After we review the changes and approve them, they will appear on the website.

Citing

If you find this work useful, consider citing it:

@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},
}

Development and deployment

Requires node, yarn.

Installing dependencies

yarn install

Development server

yarn dev

Generate static pages

yarn generate

Serve generated static pages to test locally

npx serve .output/public

Deploy

scp -P PORT -r ./.output/public/ USER@IP:/home/www/website