We're a research team at the University of Rochester studying what might be new ways of interacting with your music listening data for self-discovery — not just the numbers and rankings.
Your Last.fm page knows every song you've played, but only you know why. Behind the charts and counts are late-night drives, old friendships, phases you grew out of, and songs that still mean something.
## What you'll do
One session of approximately 90 minutes, over Zoom or in person in Rochester. You will:
- Revisit parts of your own Last.fm listening data
- interact with a chatbot to explore your listening data
- Complete an interview on what you think
- Help us imagine how tools for exploring listening data for self-discovery could be designed differently
## Who can participate?
- You are 18 or older
- You have used Last.fm for at least one year
- You are comfortable sharing your Last.fm listening data for the study
Compensation: $16/hour(30% tax withheld for non-resident alien)
We will ask for access to at least one year of your Last.fm listening data. Your data will be de-identified, used only for research purposes, and deleted after the study sessions conclude. Participation is voluntary, and all responses and listening data are handled according to the study's consent and privacy procedures.
## Interested?
Please fill out this short eligibility form: docs.google.com/forms/…/viewform?usp=dialog
## Questions? Email me at [[email protected]](mailto:[email protected]) or send me a message.
We'd love to hear the stories behind your scrobbles. Thank you!
Update:
Hi everyone,
Thank you so much for your enthusiasm and interest! We have currently recruited enough participants for our first round of sessions, but we will be holding another round. You are still welcome to sign up, and we will keep your information on file and contact you about the next session. Thank you again!