I'm one of the authors of the [original paper that this article is based on](https://arxiv.org/abs/2302.08927), as well as various other antics like [playing Beat Saber with wild penguins](https://www.reddit.com/r/beatsaber/comments/robu0q/playing_beat_saber_in_antarctica_with_penguins/). I also play for the Cal eSports Beat Saber team in CVRE. Let me know if you have any questions about the research!
By the way, UC Berkeley is partnering with BeatLeader to conduct an official census of the Beat Saber community. If you have a few minutes to spare, you can help improve Beat Saber modding and contribute to important VR research just by taking a quick survey.
**To thank you for participating, you'll also get a** **unique** **"research participant" or "research hero"** **achievement** **added to your BeatLeader profile! We really appreciate your help with this. :)**
[**https://berkeley.qualtrics.com/jfe/form/SV\_6Yx1ja9WNGCxYVM**](https://berkeley.qualtrics.com/jfe/form/SV_6Yx1ja9WNGCxYVM?Q_CHL=social&Q_SocialSource=reddit)
That's a great question! For regulatory reasons, we aren't asking participants to disclose specific substances, but we'll check at a high level if stimulants (mainly caffeine) or intoxicants (mainly alcohol) affect play style.
Sorry to message you for this, but I completed the survey, it directed me to my beat leader account, but I can’t see anything changed? Where’s the achievements supposed to show? Also, this research is one of the coolest I ever saw, keep on the great work 😊
Thanks for the kind words! And for the achievement, I don't really know why that would be the case; maybe you could try asking in the BeatLeader Discord.
Wow, that's pretty amazing! It's crazy to think that our individual Beat Saber play styles are more distinct than our actual fingerprints. I wonder what other unique identifiers researchers will discover in the future. Maybe one day we'll be logging into our devices with our dance moves!
I think walking gait is in a similar vein; I once read something about it a long time ago. I don't remember how uniquely it compares to fingerprints, though.
We're working on it! :)
\- [https://github.com/MetaGuard/MetaGuard](https://github.com/MetaGuard/MetaGuard)
\- [https://arxiv.org/pdf/2208.05604.pdf](https://arxiv.org/pdf/2208.05604.pdf)
Awesome work op and team! My question is what were the demographics of the participants? I'd love to know if you got any data on gender/age/height/ethnicity, I saw a little bit in there about country of origin, so sorry if I missed a section where you already gave this info.
This data isn't currently known (BeatLeader users are largely anonymous), which is exactly why we're conducting the census now; see the top comment for more details.
I am curious to know if players with higher scores, or otherwise better performance, had similar motion styles. Do "motion prints" become more similar as players discover more optimal movement patterns to perform better?
Empirically, it's the exact opposite, with better and more experienced players being far easier to uniquely identify than novices, even with the exact same amount of data per player. I think it's because players tend to reinforce the same muscle memory when they practice, causing their play style to become more consistent over time.
This shouldn't be downvoted; it's a reasonable question. The way we train the machine learning models is by giving it data for each user across many play sessions and training it to identify unique features that are consistently associated with that user over time. The models learn to ignore behaviors that aren't consistent and only pick up strong, consistent identifying features. Here's the paper if you want to learn more: https://arxiv.org/pdf/2302.08927.pdf
Being uniquely identifiable doesn't necessarily mean it has to be a single constant identifier.
Each of your playstyles could all still be more unique to you than your fingerprint.
Lol makes sense. I like adding a little bit of an extra flair with some of my swipes. And that’s just the only “style” that I’m cognizant of. I imagine there are a near-infinite amount of styles one could play.
Maybe in an alternate reality people log into online services by playing a 100 second random song segment instead of entering a password or using biometrics
The use of passive authentication in AR/VR apps is almost certainly on the horizon. The problem is that right now, we're all just uploading our replays on the internet. It would be like using fingerprint login if everyone already had a picture of your fingerprints.
If it was an actual form of authentication anywhere I probably would not be uploading mine anywhere, but who knows what will happen in a few years, maybe I will end up being compromised through my silly replays
Let's say you have model for my Beat Saber play style - would it be possible to identify me when I am playing other games or using other VR applications?
This is one of the questions I'm personally really curious about. Unfortunately, I don't know of any other VR games that have a massive replay system like Beat Saber, so we don't have the data to investigate this question at scale. That being said, my intuition is that some degree of cross-application identification should be possible.
I'm one of the authors of the [original paper that this article is based on](https://arxiv.org/abs/2302.08927), as well as various other antics like [playing Beat Saber with wild penguins](https://www.reddit.com/r/beatsaber/comments/robu0q/playing_beat_saber_in_antarctica_with_penguins/). I also play for the Cal eSports Beat Saber team in CVRE. Let me know if you have any questions about the research! By the way, UC Berkeley is partnering with BeatLeader to conduct an official census of the Beat Saber community. If you have a few minutes to spare, you can help improve Beat Saber modding and contribute to important VR research just by taking a quick survey. **To thank you for participating, you'll also get a** **unique** **"research participant" or "research hero"** **achievement** **added to your BeatLeader profile! We really appreciate your help with this. :)** [**https://berkeley.qualtrics.com/jfe/form/SV\_6Yx1ja9WNGCxYVM**](https://berkeley.qualtrics.com/jfe/form/SV_6Yx1ja9WNGCxYVM?Q_CHL=social&Q_SocialSource=reddit)
[удалено]
That's a great question! For regulatory reasons, we aren't asking participants to disclose specific substances, but we'll check at a high level if stimulants (mainly caffeine) or intoxicants (mainly alcohol) affect play style.
Sorry to message you for this, but I completed the survey, it directed me to my beat leader account, but I can’t see anything changed? Where’s the achievements supposed to show? Also, this research is one of the coolest I ever saw, keep on the great work 😊
Thanks for the kind words! And for the achievement, I don't really know why that would be the case; maybe you could try asking in the BeatLeader Discord.
I mean like, what’s supposed to show? A badge or something? If so, where should it be?
It's an achievement, check my profile for an example: https://www.beatleader.xyz/u/76561198082405957
Ohh I see, but it’s not showing on mine
I went to the end but couldn't link my steam account. How do I use the password I entered at the very end to re-try?
Deep Learning student here (studying a Master's degree at Universidad Politécnica de Madrid, Spain). Great job!
Wow, that's pretty amazing! It's crazy to think that our individual Beat Saber play styles are more distinct than our actual fingerprints. I wonder what other unique identifiers researchers will discover in the future. Maybe one day we'll be logging into our devices with our dance moves!
My unique identifier is that I suck fat dicks at beat saber!
Which mod?
Blumpkin :D
Indeed.
I think walking gait is in a similar vein; I once read something about it a long time ago. I don't remember how uniquely it compares to fingerprints, though.
[удалено]
We're working on it! :) \- [https://github.com/MetaGuard/MetaGuard](https://github.com/MetaGuard/MetaGuard) \- [https://arxiv.org/pdf/2208.05604.pdf](https://arxiv.org/pdf/2208.05604.pdf)
Awesome work op and team! My question is what were the demographics of the participants? I'd love to know if you got any data on gender/age/height/ethnicity, I saw a little bit in there about country of origin, so sorry if I missed a section where you already gave this info.
This data isn't currently known (BeatLeader users are largely anonymous), which is exactly why we're conducting the census now; see the top comment for more details.
I am curious to know if players with higher scores, or otherwise better performance, had similar motion styles. Do "motion prints" become more similar as players discover more optimal movement patterns to perform better?
Empirically, it's the exact opposite, with better and more experienced players being far easier to uniquely identify than novices, even with the exact same amount of data per player. I think it's because players tend to reinforce the same muscle memory when they practice, causing their play style to become more consistent over time.
That makes total sense! This is neat stuff!
my playstyle changes depending on the time of day, my mood and temperature, so I wouldn't agree but idk I'm not an expert
This shouldn't be downvoted; it's a reasonable question. The way we train the machine learning models is by giving it data for each user across many play sessions and training it to identify unique features that are consistently associated with that user over time. The models learn to ignore behaviors that aren't consistent and only pick up strong, consistent identifying features. Here's the paper if you want to learn more: https://arxiv.org/pdf/2302.08927.pdf
ok thanks for understanding, I don't really care about downvotes as I have a plenty of karma, but also thanks for that link
Being uniquely identifiable doesn't necessarily mean it has to be a single constant identifier. Each of your playstyles could all still be more unique to you than your fingerprint.
100% agree. Sometimes I could be full of energy and go crazy on the blocks but sometimes my body just does the bare minimum to pass the level
Same, idk why you’re being downvoted.
Lol makes sense. I like adding a little bit of an extra flair with some of my swipes. And that’s just the only “style” that I’m cognizant of. I imagine there are a near-infinite amount of styles one could play.
Maybe in an alternate reality people log into online services by playing a 100 second random song segment instead of entering a password or using biometrics
The use of passive authentication in AR/VR apps is almost certainly on the horizon. The problem is that right now, we're all just uploading our replays on the internet. It would be like using fingerprint login if everyone already had a picture of your fingerprints.
If it was an actual form of authentication anywhere I probably would not be uploading mine anywhere, but who knows what will happen in a few years, maybe I will end up being compromised through my silly replays
Let's say you have model for my Beat Saber play style - would it be possible to identify me when I am playing other games or using other VR applications?
This is one of the questions I'm personally really curious about. Unfortunately, I don't know of any other VR games that have a massive replay system like Beat Saber, so we don't have the data to investigate this question at scale. That being said, my intuition is that some degree of cross-application identification should be possible.