@erik_squires, since you are a teacher of experimental psychology and you do not see that background too much I thought I would ask you, by any chance are you familiar with the now defunct group PEAR 🍐 Princeton Engineering Anomalies Research? Also, how about Rupert Shekdrake, author of Dogs that Know When their Owners are Coming Home? 🐩
The invention of measurements and perception
This is going to be pretty airy-fairy. Sorry.
Let’s talk about how measurements get invented, and how this limits us.
One of the great works of engineering, science, and data is finding signals in the noise. What matters? Why? How much?
My background is in computer science, and a little in electrical engineering. So the question of what to measure to make systems (audio and computer) "better" is always on my mind.
What’s often missing in measurements is "pleasure" or "satisfaction."
I believe in math. I believe in statistics, but I also understand the limitations. That is, we can measure an attribute, like "interrupts per second" or "inflamatory markers" or Total Harmonic Distortion plus noise (THD+N)
However, measuring them, and understanding outcome and desirability are VERY different. Those companies who can do this excel at creating business value. For instance, like it or not, Bose and Harman excel (in their own ways) at finding this out. What some one will pay for, vs. how low a distortion figure is measured is VERY different.
What is my point?
Specs are good, I like specs, I like measurements, and they keep makers from cheating (more or less) but there must be a link between measurements and listener preferences before we can attribute desirability, listener preference, or economic viability.
What is that link? That link is you. That link is you listening in a chair, free of ideas like price, reviews or buzz. That link is you listening for no one but yourself and buying what you want to listen to the most.
E
Let’s talk about how measurements get invented, and how this limits us.
One of the great works of engineering, science, and data is finding signals in the noise. What matters? Why? How much?
My background is in computer science, and a little in electrical engineering. So the question of what to measure to make systems (audio and computer) "better" is always on my mind.
What’s often missing in measurements is "pleasure" or "satisfaction."
I believe in math. I believe in statistics, but I also understand the limitations. That is, we can measure an attribute, like "interrupts per second" or "inflamatory markers" or Total Harmonic Distortion plus noise (THD+N)
However, measuring them, and understanding outcome and desirability are VERY different. Those companies who can do this excel at creating business value. For instance, like it or not, Bose and Harman excel (in their own ways) at finding this out. What some one will pay for, vs. how low a distortion figure is measured is VERY different.
What is my point?
Specs are good, I like specs, I like measurements, and they keep makers from cheating (more or less) but there must be a link between measurements and listener preferences before we can attribute desirability, listener preference, or economic viability.
What is that link? That link is you. That link is you listening in a chair, free of ideas like price, reviews or buzz. That link is you listening for no one but yourself and buying what you want to listen to the most.
E
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- 175 posts total
- 175 posts total