[dwringer]

I wonder how relevant this perspective is to the discussion going on at [1]. Particularly, I am curious how people interpret the notion that a deep learning system could predict a person's musical preferences by their facial features.

[1] https://news.ycombinator.com/item?id=15219906

[jradd]

Also, there are patents available for deterministic models based off of neurophysiological response data obtained from various sensors (primarily heart/pulse, galvanic capacitance of the skin, body temperature).

One model mentioned in the patent uses Nigel Osborne's INRM (Innate Neuro-physiological Response to Music) paradigm to make predictions.

[dwringer]

"Also?" I was only bringing the subject up for discussion - I think it would be ridiculous to suggest that facial features could actually predict a person's musical tastes. These tastes change in some people from day to day or even minute to minute. People also subjectively evaluate music very differently, even when it's music they enjoy listening to.

As for those patents, I would caution against interpreting them to mean a person's musical preferences can be inferred or exploited in this way. Merely evoking a physical response is not the same as satisfying a person's preference or desire. Particularly, a physical response can happen in the absence of a person's consent to receive the stimulus, and in rape trials this is legally recognized to exclude evidence of such a physical response from being used by the defense.