I don’t want another Apple Watch. I just want a smarter one!
My Apple Watch is a bit stupid: I’ve to tell what I’m going to do. That I’m going to start a workout, to stop it, to sleep, to stop sleeping, to drink and so on.
That’s not what I expect from a smart watch. I expect it to learn from the context what I’m doing and recording that.
By using, programming and studying the Apple Watch I try to:
Imagine what the Apple Watch is and can be
The question which are driving me is:
How to make the Apple Watch smarter?
We should all know it now the way the Apple product process works. It’s the same process as always. The processes we saw with the Mac, the iPhone and the iPad.
Apple, doing the largest chunk of work, making APIs that app developers can use as building blocks. And then developers, users, commentators and researchers telling what’s work or not. Then Apple and developers repeat the process until near perfection is obtained.
Trying to my my den, here is the resources I personally use in my layman research on tech:
- Producthunt to discover new products
- Medium to read articles
- My own observation and writing.
- Wristly as a research source
- Tightly following analysts as @asymco, @benbejarin, @JohnKirk and a part of the Apple blogosphere
Yesterday, I found a new app on Producthunt, which made my head bells toll. It’s slogan was:
Auto identifies exercises and counts your reps using your Apple Watch.
What a beautiful sentence!
I think Auto-identifying is the magic word here. If fulfilled, I imagine this is what could propel the watch from dumb to smart.
The slogan comes from the app Tracker’s promotion on iOS App Store. After a short test of the app, I would not characterize Tracker as really auto-identifying app per se, but more an experiment in using it. However, as it is, it is a valuable peek into a better future.
The Auto Identifying and confirmation future
The Apple Watch is choking full of sensors, computation power and data storage. It has all the means to anticipate our intentions when we repeat tasks. And if there are inconsistencies, the watch have the means to ask politely. It can tap my wrist and give me some relevant options to choose between. And most importantly – it can remember the context, ie., the answer and sensor patterns and not ask again.
For instance; when Apple Watch sense that I’m walking fast, steady and that my pulse is increasing, it should know I’m doing a walking workout. It should then start workout mode automatically, suggest workout type and let me confirm it.
Here comes the clue: in my next walking workout, my Apple Watch should, based on my sensors data, recognize the movements and remember the former context that shows I’m on a walking workout, and just act on that. And not ask! Just record the my walking workout!
If I stop to take rest, the watch should pause the workout session, and automatically continue when finishing. And if I not finish, end and save the workout.
«Auto indentify» as an API?
Apple could facilitate the «Auto indentify» as an API. The health apps would be way more targeted, and we would have better personal health statistics to share – with our trainers and medical staff!
So please Apple – Let your cute beautiful watch grow up and be as smart one!
Learning from other Apple Watch users experiences
After seven months I still don’t use all the features of my Apple Watch. One of my best sources to learn more is Wristly.
I’m intensely following Bernard Desarnauts’ research in Wristly, where he successfully unveil the Apple Watch strength and weaknesses. I’ve been taking part in his surveys from day one, and you should too.
The way Tim Cook use Wristly’s research in public appearances, indicate that their listening to it.
If you are somehow like me, consider his Wristly Pro service, and be part of the selected few who already are experiencing the future of computing – and shaping it!