pmazumder

It is from scratch, open sourcing the code is definitely the goal but it's so ugly from my perspective right now I wanted to clean it up before releasing haha

I imagine it would generalize well to any fine motor control task with a defined tracking objective. The literature I reference mentions that human error when steering cars also roughly follows the same distribution.

It should still work on firefox, but the experience will likely not be as good. Chromium is the only browser engine (as far as I know) that gives me access to raw, unaccelerated mouse events, so it's the smoothest experience.

Are you using it on chromium? It's the only browser I get raw mouse events from right now, so other browsers tend to be more choppy.

As for the habits, the point of this program is that it ultimately admits that far domain transfer for aim trainers is difficult regardless of what you do, so it tries to optimize in an absolute sense your motor control over your mouse. That way, regardless of scenario you'll have smoother and more efficient aim.

What browser are you on? Hardware acceleration? It shouldn't be very difficult to run, so I'm guessing some sort of a compatibility issue

I didn't realize it could be distracting, sorry. It shouldn't happen now

Hi, thanks for the feedback! Multiple mouse profiles isn't something I considered, but I'll definitely look into it. I know a lot of FPS gamers are super particular and switch between mice/mousepads/skates constantly, so it would probably help to provide a semi objective measurement of what setup they're doing best on as well

writeup on the rationale behind it: https://www.pramit.gg/post/i-made-an-aim-trainer

I'm very surprised honestly that this has picked up as much as it has, and have been mulling over the polarized responses to it.

few things I'd like to clarify: - yes, I do use claude quite a bit. I don't have much background in frontend design or do it for work (which is mostly low level perception and controls, ironically something I'm seldom able to use AI for), so it makes tasks for me way more accessible. I try, as much as possible, to use LLM content to increase the creativity of a human behind it as much as possible (all the drawings on the site are drawn by visitors, for example, and I actually storyboarded the site's design by hand before implementing it).

- for writing, it is for better or worse mostly me, but I'm starting to see the parts that unravel. I've always been known to be rather verbose, and I tried to use LLMs to suggest strategies to make my drafts more palatable to a reader. I feel in retrospect that these attempts may have added a synthetic tinge. Mostly everything I write about is something I first make code for and investigate in my own time, without any expectation of explaining; there is a lot of real effort that's disproportionately put there over packaging.

This article was genuinely my first time making something educational of the sort, and I had my physics major friends checking in and auditing, and was gleefully showing progress wherever I could. I used manim for the first time to make those very shitty looking animations as well. I did not want to nor claim to look like an expert on this. I just wanted to show an exploration I did in my free time earlier, to maybe spark a little bit of interest in one of my random discord peers regarding the subject matter. I can say that for the close group of people around me in real life who this article was originally intended for, that I was successful. tl;dr I'm now somewhat embarassed that I've immortalized and publicized my lackluster first attempt at making educational content

I was playing around with making an aim trainer that's more focused on raw crosshair movement than scenario scores, as well as the idea of choosing sens as part of the scenario to recruit different motor control schemes. I ended up making a little thing, along with a technical writeup on the methodology behind it