of Australia listen to podcasts, lower than the global average than 41%.
(Sang et al, 2020)
More than half of podcast listeners consume podcasts while multitasking:
"59% have listened while doing housework. 52% while driving. 51% while cooking. And 46% while going for a walk.” (The Edison Research, 2017)
My interviewees multitasks while they listened to podcasts. Two of my interviewees listens to podcast while sleeping, while one listens while driving
were two deciding factors into whether or not they would continue listening to a podcast.
My interviewees raised the issue of struggling to make manual controls (eg. switching podcasts, adjusting volume) while multitasking.
How might we ease interaction between multitasking users and the app?
How might we increase confidence in the user's choice of podcasts, so interaction can be minimized between multitasking users and the app?
To narrow the scope of this project, I have decided to only focus on sleeping podcast users.
How can I design better experiences for these users so they can have a better night’s sleep, improving motivation and performance the next morning?
Imagine it’s 11pm you’re really sleepy, but can’t fall asleep. Your task is to:
1. Open the app and select a mood and task
2. Connect a smartwatch to the app
2. Choose an ASMR podcast with a male podcaster with a deep voice
3. Add 2 background noises to the podcast you chose
4. Lock the screen and extend the sleep timer
Using data collected from user's smart watches, the system could recommend better podcasts to other app users. For instance, if data shows users on the platform fall asleep quicker to a certain meditation podcast, then it will be more frequently recommended to other users.