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Comment on Tech brands are forcing AI into your gadgets—whether you asked for it or not

tal@lemmy.today ⁨6⁩ ⁨months⁩ ago

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That’d actually probably be a not-unreasonable application for machine learning, if you could figure out some kind of way to measure short-term biological arousal to use as an input. I don’t know if blood pressure or pulse is fast enough. Breathing? Pupil dilation?

Like, you’ve got inputs and outputs that you don’t know the relation between. You have a limited number of them, so the scale of learning is doable. Weighting of any input in determining an output probably varies somewhat from person to person. It’s probably hard to get weighting data in person. Those are in line with what one would want to try doing machine learning on.

IIRC, vibrators tend to have peak effect somewhere around 200 Hz, but I’d very much be willing to believe that that varies from person to person. If one has an electric motor driving an eccentric cam to produce vibration, as game controllers do for rumble effects, then as long as the motor’s controller supports it, you could probably train that pretty precisely, maybe use some other inputs like length of time running.

I don’t know if it’s possible to have a cam with variable eccentricity – sort of a sliding weight that moves towards or away the outer edge of the cam – but if so, one could decouple vibration frequency and magnitude.

googles

Looks like it exists.

iopscience.iop.org/article/10.1088/…/pdf

So that’s an output that’d work with a variety of sex toys.

There’s an open-source layer at buttplug.io – not, despite the name, focusing specifically on butt plugs – that abstracts device control across a collection of sex toys, so learning software doesn’t need to be specific to a given toy, can just treat the specific toy involved as another input.

I’m sure that there’s a variety of auditory and visual stimuli that has different effect from person to person and isn’t generally-optimal today.

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tal@lemmy.today ⁨6⁩ ⁨months⁩ ago
Looking through the hardware compatibility list on buttplug.io, one such device is the “Edge-o-Matic 3000”. This claims to keep a user near orgasm without actually havign an orgasm. For that to work, there have to be sensors, and fairly reactive to arousal in the short term. It looks like they’re using a pressure sensor driven off a bulb in a user’s butt to measure muscle contractions, and are trying to link that to arousal.

maustec.io/collections/sex-tech/products/eom3k?va…

The Edge-o-Matic is a smarter orgasm denial device (for all humans, which also includes men and women) that uses a hollow inflatable butt plug to detect orgasm via muscle contractions in the area. As the user approaches orgasm, these involuntary contractions are recorded and measured to estimate arousal levels and control external stimuli accordingly.

If they’re trying to have software learn to recognize a relationship between muscle contractions and arousal sufficient to produce orgasm, if it’s automatic rather than having someone tweaking variables, that’s machine learning. Maybe “AI” is a bit pretentious, but it’d be a sex toy doing machine learning today.

That’s an interesting idea, but:

I’m dubious that it actually works well. It’s described as being a work in progress.

Even if it works and solves the problem they’re trying to solve (being able to reliably predict orgasm), I’m not sure that muscle contractions can be used to predict arousal more-broadly.

My guess is that as sensors go, mandating that someone have an inflatable bulb up their butt to let the sensor get readings is kind of constraining; not everyone is going to want that at all, much less when they’re, well, playing with sex toys.

That being said, it’s gotta at least be viable enough for someone to have been willing to put work into and commercialize a device based on that input. I’d believe that muscle contractions are an input that one could reasonably derive data that one could train a machine on.
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- tal@lemmy.today ⁨6⁩ ⁨months⁩ ago
  Maybe one could use brainwaves as an input. That’d avoid physical delay. I’ve got no idea how or if that links to arousal, but I’ve seen inexpensive, noninvasive sensors before that log it. Using biofeedback off those was trendy in the 1970s or something, had people putting out products.
  
  en.wikipedia.org/wiki/Electroencephalography
  
  At least according to this paper, sexual arousal does produce a unique signature:
  
  link.springer.com/article/…/s10508-019-01547-3
  
  Neuroelectric Correlates of Human Sexuality: A Review and Meta-Analysis
  
  Taken together, our review shows how neuroelectric methods can consistently differentiate sexual arousal from other emotional states.
  
  If it’s primitive enough, probably similar across people, easier to train a meter to measure arousal from EEG data on one set of people that can be used on others.
  
  www.sciencedirect.com/…/S009130571400032X
  
  There is a remarkable similarity between the cortical EEG changes produced by sexually relevant stimuli in rats and men.
  
  That sounds promising.
  
  There’s an open EEG product at two channels without headband for 99 EUR.
  
  www.olimex.com/Products/…/open-source-hardware
  
  Some more-end-user-oriented headsets exist.
  
  imotions.com/blog/learning/…/eeg-headset-prices/
  
  Hmm. Though psychologists have to have wanted to measure sexual arousal for research. You’d think that if EEGs were the best route, they’d have done that, else physical changes.
  
  www.sciencedirect.com/…/S2050052115301414
  
  Over the past four decades, there has been a growing interest in the psychophysiological measurement of female sexual arousal. A variety of devices and methodologies have been used to quantify and evaluate sexual response with the ultimate goal of increasing our understanding of the process involved with women’s sexual response, including physiological mechanisms, as well as psychological, social, and biological correlates. The physiological component of sexual response in women is typically quantified by measuring genital change. Increased blood flow to the genital and pelvic region is a marker of sexual arousal, and a number of instruments have been developed to directly or indirectly capture this change [1]. Although the most popular instrument for assessing female sexual response, the vaginal photoplethysmograph (VPP), measures genital response intravaginally, the majority of other instruments focus on capturing sexual response externally, for example, on the labia or clitoris.
  
  Hmm.
  
  en.wikipedia.org/…/Vaginal_photoplethysmograph
  
  Vaginal photoplethysmography (VPG, VPP) is a technique using light to measure the amount of blood in the walls of the vagina.
  
  The device that is used is called a vaginal photometer. The device is used to try to obtain an objective measure of a woman’s sexual arousal.There is an overall poor correlation (r = 0.26) between women’s self-reported levels of desire and their VPG readings.[1]
  
  That doesn’t sound like, even concerns about responsiveness in time aside, existing methods for measuring arousal from physical changes in the body are all that great.
  
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JCreazy@midwest.social ⁨6⁩ ⁨months⁩ ago
I couldn’t get buttplug.io to work 😒

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