> The Apple Watch display turns on when I raise my wrist to look at it. Always-on seems more like a vanity feature than actually useful. If you aren't looking at it, it serves no purpose to be on.
There are lots of cases when you want to glance at your watch without doing an explicit, lively motion with your hand. For instance, as I'm typing this comment, I can look at my Pebble without moving the wrist. When a notification comes, I can read it without doing anything but moving my eyes downward. Since I spend 8+ hours every day in front of one computer or another, it's extremely valuable. Similarly, it applies when you're e.g. carrying things, or doing chores.
> I also think you're underselling the fitness aspect. I've been much more active since I got my Apple Watch. The importance of physical activity is hard to understate.
Probably. I admit I might be a bit biased against sports and fitness, for various hard-to-untangle reasons :).
> Also, I visited my doctor recently and she was a bit worried that my pulse was high. I showed her the graph of my pulse over the last week, and she was no longer worried. In the future, when we can measure thinks like blood pressure and blood glucose, it will significantly improve people's health. That's clearly where Apple is headed.
That's a great use of such technology, I admit. You communicated with a specialist and used your data to your advantage. That's how it should work. But generally, it doesn't. I dislike the whole quantified self movement (and fitness-oriented smartwatches are a part of it) for generally being a cargo-cult field. What you usually get is a device that measures something and puts the data in a completely unneccessary (but required to monetize you) cloud app, which then happily displays you some shiny graphs. The prettier the graphs the better thing sells, even though they're often pretty much useless. You can't export your data, you can't study your data, you just have some graphs. You're supposed to look at them and say "oooh, cool!".
There's a broader point here that applies both to QS enthusiasts and dashboard designers and people working on IoT - graphs are means, not an end. They exist only to improve user's decision-making process. Different graphs help with different questions, so it's important to allow users to manipulate the data presentation, and even more important to teach them the right questions to ask.
We have a technology that could really enable people to live smarter, healthier and better, and instead of that we're being fed shiny trinkets that monetize your data and lock it in so you can't use it for your advantage.
There are lots of cases when you want to glance at your watch without doing an explicit, lively motion with your hand. For instance, as I'm typing this comment, I can look at my Pebble without moving the wrist. When a notification comes, I can read it without doing anything but moving my eyes downward. Since I spend 8+ hours every day in front of one computer or another, it's extremely valuable. Similarly, it applies when you're e.g. carrying things, or doing chores.
> I also think you're underselling the fitness aspect. I've been much more active since I got my Apple Watch. The importance of physical activity is hard to understate.
Probably. I admit I might be a bit biased against sports and fitness, for various hard-to-untangle reasons :).
> Also, I visited my doctor recently and she was a bit worried that my pulse was high. I showed her the graph of my pulse over the last week, and she was no longer worried. In the future, when we can measure thinks like blood pressure and blood glucose, it will significantly improve people's health. That's clearly where Apple is headed.
That's a great use of such technology, I admit. You communicated with a specialist and used your data to your advantage. That's how it should work. But generally, it doesn't. I dislike the whole quantified self movement (and fitness-oriented smartwatches are a part of it) for generally being a cargo-cult field. What you usually get is a device that measures something and puts the data in a completely unneccessary (but required to monetize you) cloud app, which then happily displays you some shiny graphs. The prettier the graphs the better thing sells, even though they're often pretty much useless. You can't export your data, you can't study your data, you just have some graphs. You're supposed to look at them and say "oooh, cool!".
There's a broader point here that applies both to QS enthusiasts and dashboard designers and people working on IoT - graphs are means, not an end. They exist only to improve user's decision-making process. Different graphs help with different questions, so it's important to allow users to manipulate the data presentation, and even more important to teach them the right questions to ask.
We have a technology that could really enable people to live smarter, healthier and better, and instead of that we're being fed shiny trinkets that monetize your data and lock it in so you can't use it for your advantage.