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 Bergström, Joanna and LaViola Jr, 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},
      publisher = {IEEE},
      location = {Seattle, WA, USA},
      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

yarn preview:static
# npx serve .output/public

This serves a local directory that mirrors the production URL path. Open http://localhost:3000/icerc/isuelab/research/vr_selections/.