Ask HN: How AI/ML can be applied to improve our phone usage habits?
Hey HN!
I've been deep-diving into an intriguing question while working on my side project and during my studies.
I experimented with predicting the length of my future phone usage sessions (from unlock to lock), and the outcomes have been pretty remarkable.
I got my usage data in format
timestamp_of_session, duration_in_seconds
By applying a straightforward linear regression model, I achieved a Mean Squared Error of just around 3 minutes. Isn't that fascinating?
I'm really excited to hear your thoughts and insights on this! Thanks in advance for your input!
7 comments
[ 2.9 ms ] story [ 28.9 ms ] threadAnd what do you mean by MSE of around 3 minutes? Do you mean root mean squared error?
timestamp_of_session, duration_in_seconds
Yes, sorry for lack of details I meant root MSE
You don't even need AI for this. Just track application use and then gradually increase the lockout time for the top 3 applications.
As for just using plain software, yes it is an option indeed. But when we are using our devices, we produce so many data points and they are mostly used for hooking our attention through models. Don't you think that there is there so little reverse targeted application of the models?