Reaching this Funding goal means that we are able to start the study with few participants & gain important knowledge to further our mission.
Our project aims to identify first signs of depression in children and adolescents. Because it is only with an early diagnosis that we have a chance to intervene at an early stage.
For this purpose we want to use WhatsApp: we know from research that people write "differently" when being in a depressive episode, for example they use more negative words. People also withdraw from friends and family when they feel depressed; thus, they probably communicate less using their smartphones. This altered user behaviour may also be fruitful for the recognition of a depression.
In our “What's up?” study we want to investigate whether children and youth with depression communicate "differently" via WhatsApp compared to young people who are doing well. With the results, we want to create an app as early-warning system that automatically evaluates the chats and use of WhatsApp or other instant messengers.
The best thing about it: You won't notice the app at all. Only when first signs of depression occurs, the early warning system will alert the user and suggest what is best to do now.
Our goals are:
Our app is designed for all children and adolescents who are vulnerable for depression. But the app could also be helpful for adults with depression.
We want to fundamentally improve the early detection of depression, especially among the weakest - children and adolescents. So we can treat faster and more efficient. This is urgently needed because:
With your help we can start the project successfully. This is what we will do with your support:
Stefan Lüttke (University of Tuebingen, Germany)
Stefan Lüttke is psychologist and conducts research on the causes of depression, especially in children and adolescents. Moreover, Stefan treats children and youth with mental health problems. His personal motivation is: care and attention in childhood is the basis to withstand the storms of adulthood.
Anika Schwind und Dr. Michael Seufert (University of Wuerzburg, Germany)
Anika Schwind and Michael Seufert are researchers at the Chair of Communication Networks at the University of Würzburg. They investigate the subjective quality of popular Internet services and try to improve them with network traffic management. To this end, they are investigating the communication behavior in WhatsApp. Among other things, they have developed the WhatsAnalyzer.
More about WhatsAnalyzer