As seen in:
- Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O’Brien, Louis Rosenberg, and Dawn Song. "Unique Identification of 50,000+ Virtual Reality Users from Head & Hand Motion Data." arXiv, 17 February 2023. doi:10.48550/arXiv.2302.08927.
- Vivek Nair, Gonzalo Munilla Garrido, and Dawn Song. "Going Incognito in the Metaverse." arXiv, 11 August 2022. doi:10.48550/arXiv.2208.05604.
- Vivek Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Louis Rosenberg, and Dawn Song. "Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data." arXiv, 30 May 2023. doi:10.48550/arXiv.2305.19198.
Supported by:
BOXRR-23 is used by dozens of institutions, including:
Dataset nutrition facts pursuant to the The Data Nutrition Project, https://arxiv.org/abs/1805.03677
Dataset Facts
Dataset BOXRR-23
Instances Per Dataset 4,717,215
Metadata
Original Authors
Vivek Nair, UC Berkeley
Wenbo Guo, UC Berkeley
Rui Wang, UC Berkeley
James F. O'Brien, UC Berkeley
Louis Rosenberg, Unanimous AI
Dawn Song, UC Berkeley
Owner
Berkeley RDI Center
Creator
Berkeley RDI Center
Maintainer
Berkeley RDI Center
Version
2023
URL
rdi.berkeley.edu/metaverse/boxrr-23
DOI
doi.org/10.25350/B5NP4V
License
CC BY-NC-SA 4.0
Curated
APR 2023
Original Funding
National Science Foundation
National Physical Science Consortium
Fannie and John Hertz Foundation
Berkeley RDI Center
Ongoing Funding
Berkeley RDI Center
Keywords
XR, VR, AR, MR, MoCap, HCI, CGI, AI, ML
Composition
Data Dictionary
rdi.berkeley.edu/metaverse/boxrr-23/dict.json
Format
XROR
Timeframe
From
To
NOV 2017
APR 2023
Upstream Sources
BeatLeader (beatleader.xyz)
ScoreSaber (scoresaber.com)
PolyGone (polygone.art)
Steam (steampowered.com)
BeatSaver (beatsaver.com)
Source
% of Recordings
BeatLeader 3,525,456 recordings
ScoreSaber 1,136,581 recordings
PolyGone 55,178 recordings
74.7%
24.1%
1.2%
Ethics
Ethics Review
Berkeley OPHS #2023-03-16120
Human Data
Yes
Individual Data
Yes
Consent Given
Yes
Community Involvement
Yes
Sensitive Content
Maybe
Confidential Data
No
Subpopulations
Country
Restrictions
rdi.berkeley.edu/metaverse/boxrr-23/dua.pdf
Processing
Imputation
None
Manipulation
None
Completeness
Complete
Raw Data Retained
Yes
Uses and Distribution
Domains
Security and Privacy
Graphics and CGI
Human-Computer Interaction
Machine Learning
Original Use
Authentication
Notable Uses
arxiv.org/abs/2302.08927
arxiv.org/abs/2208.05604
arxiv.org/abs/2305.19198
Other Uses
Motion Synthesis
Anti-Cheating
Score Prediction
Prohibited Uses
Deanonymization
Sensitive Attributes
Health Research
Maintenance and Evolution
Corrections or Erratum
None
Updates
Annual
Description
The BOXRR-23 dataset contains 4,717,215 motion capture recordings generated by 105,852 real users of extended reality (XR) devices, obtained from three broadly publicly-available sources relating to two XR applications, Beat Saber and Tilt Brush.
Copyright ©2022–2023 UC Regents | Email us at rdi@berkeley.edu.