Have you ever wondered when you are at your happiest? What things stress you out? And are you really that much more active at weekends? MyMood is an application that lets you record your emotional state at various times during the day using images. You will be able to track how your emotional state will evolve during the day and week, to better understand trends for your wellbeing.

MyMood has been developed for the purpose of a research study at University College London, but we believe that the app itself is fun!

Mood Questionnaires

MyMood will prompt you 4 times to take a photo with your camera to capture your mood. You are then able to visualise your questionnaire answers and pictures submitted.

Tracking your mood

The app lets you track your mood in three ways: a chart for the weeks where the app is installed, a map of places you've visited while answering questionnaires, and a gallery with the pictures you have taken.

Taking part

Interested? To participate in our study, you will need to install the Android application and use it for a minimum of two weeks. The app will prompt you 4 times a day to take a picture. That's it! There are also a few steps you will need to complete just once when you first install the app. More details are available in the participant information sheet.

Participation reward

We are also offering a Motorola smartwatch to one of our study participants, subject to a participation of minimum a two weeks. We will use your email address to contact you in order to receive your prize.

This project has been approved by the University College London Research Ethics Committee, project ID number 11807/001.

MyMood is available for Android versions 5.0 and above.

You can use the badge below to download the app. Alternatively, you can also search for "MyMood" in the Play Store.

Get it on Google Play

Research Team

This study is lead by members of the Intelligent Social Systems Lab at University College London.

Victor Alexandru Darvariu
Research Assistant
Victor Alexandru Darvariu is a Research Assistant at University College London and an incoming Doctoral Student at the Alan Turing Institute.
Dr Abhinav Mehrotra
Research Associate
Abhinav Mehrotra is a Postdoctoral Research Associate at University College London.
Dr Mirco Musolesi
Reader in Data Science
Mirco Musolesi is an Associate Professor (Reader) in Data Science at the Department of Geography at University College London and a Turing Fellow at the Alan Turing Institute.

Please contact Victor Darvariu at v.darvariu@ucl.ac.uk with any queries about this study.