A mood aided playlist creation app that doubles as a mood journal
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Contrived _voiceMar 28, 2022
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Imagine an add-on to your music app that asks you how you are feeling and once it familiarizes itself with it, plays music based solely on your current mood and listening patterns. It does this not by selecting music from the same genre but by matching frequency phases and subject matter. The app also collects this data to plot a sort of mood map for the month that can be used for self-reflection.
Why?
The Spotify algorithm is great but it ends up repeating the same songs and your personal music library doesn't grow further.
Public "mood" playlists aren't accurate since moods aren't the same for everyone
Why should you spend a whole hour looking for the best playlist to take a 30-minute walk when there could be an app for that?
At a certain level of disassociation, music would statistically leave a greater impact in your life than actual events in your life.making it a great tool for self reflection.
How it works
Using your health app to monitor your pulse and breathing rate, the app maps this data onto your music preferences at the time to create a predictive model. The app then analyses the beat, melody and other facets of the song to find others that sound like it with the same theme and overarching message and compiles them into a singular playlist .If the playlist pleases you ,you also have the option of saving it on a permanent personal library.
With this already established all you have to do now is press play whenever. You dont even have to open the music app anymore. If the data collected is perfect and the programming runs as designed, the correct personalised mood appropriate music will always play for you.
Therapeautic application
A key symptom of dissasociative disorders is the world around you feeling unreal and a growing general dissaffection to things and events. This may make one turn to music as a sort of escape from the real world. The app keeps track of your high points and low points during the month and at the end of it all refers to the music to show you when you were happy. By making you acknowledge that you were happy and encouraging you to find the event that made you happy, It could foster a sort of slow 're-personalisation'. This could be healthy for someone.
It could also help fight catastrophizing . By showing you that the things you thought would worry you didn't actually end up worrying you, it could help you get out a negative headspace and consequently live a more fullfilling life
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General comments
Michaela D2 years ago
I doubted it but what you suggest is actually feasible. When someone is happy their heart rate is lower and their heart rate variability is higher, compared to when they are neutral, angry, or fearful . (Heart rate variability is the time between heartbeats.) As long as you are in a calm state and not moving, it shouldn't be too hard to detect your mood based on these measurements and your own feedback.
[1]Wu, Yan, Ruolei Gu, Qiwei Yang, and Yue-jia Luo. 2019. “How Do Amusement, Anger and Fear Influence Heart Rate and Heart Rate Variability?” Frontiers in Neuroscience 13. doi: 10.3389/fnins.2019.01131.
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Contrived _voice2 years ago
Michaela D I figured that since the fitness app already has data from you performing strenuous activities, It wouldn't be that far of a reach to still be able to tell your mood since it can be set as a baseline and everything above that is used as "emotional readings". It's a plausible idea, might take some work though.
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Darko Savic2 years ago
I vaguely remember Povilas S having a similar idea in the past. Povilas S, please point it out?
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Contrived _voice2 years ago
Darko Savic nice spot, Povilas S has a lot of musically inclined ideas but I think the one you mean is this one by J. Nikola. The principle is the same, I just hadn't seen it before so I added something to it.
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jnikola2 years ago
Contrived _voice It could also be combined or allowed to write onto the Spook Louw's biographical platform.
Contrived _voice Mar 28, 2022
[1]Wu, Yan, Ruolei Gu, Qiwei Yang, and Yue-jia Luo. 2019. “How Do Amusement, Anger and Fear Influence Heart Rate and Heart Rate Variability?” Frontiers in Neuroscience 13. doi: 10.3389/fnins.2019.01131.
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