Predicting Psychological Individual Differences from Mobile Sensing Data
Mobile sensing technologies provide a unique opportunity to capture rich, real-time behavioral data in everyday environments.
In this talk, I explore how data from mobile devices—such as communication and social behavior, physical activity, and app usage—can be used to predict individual psychological differences, including traits like personality, affect, and cognitive abilities.
I will discuss key methodologies for extracting and interpreting mobile sensing data, the challenges of managing privacy concerns, and the potential for personalized interventions.
Results from empirical studies will be presented to demonstrate how machine learning models can predict psychological outcomes, highlighting both current limitations and future possibilities in this emerging field.
Organised by: the ECNP Digital Health Network.
Speaker: Clemens Stachl, Switzerland
About the GetDigital webinar series
Digital approaches are fundamentally changing traditional ways of diagnosis, monitoring, management, and treatment of brain disorders worldwide. GetDigital is a webinar series on mHealth organised by the ECNP Digital Health Applied to the Clinical Research of Brain Disorders Network.
This online series aim at sharing and distributing new and high-quality research to researchers and clinicians, educating Early Career Scientists across Europe, and foster collaborations across research groups.
Explore the GetDigital series here.
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