OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
With a growing list of sensing modalities and AI models, the potential of wearable devices in mental health care continues to grow. I will present several research projects that combine novel data and AI in this space. First, Electrodermal activity (EDA) is a physiological measure that is used to index sympathetic arousal in response to stressors and other perturbations. The Fitbit Sense 2 and Pixel Watch 2/3 are the first commodity hardware devices with continuous electrodermal sensors, I will present an analysis of over 10 million hours of continuous EDA data collected from over 16,000 people. I will then show differences in daily EDA between those with high versus low depressive symptoms. Next, I will show the promise of scaling foundation models for these data that could create generalizable models that are label efficient. Finally, I’ll show results of how these types of sensor data can be combined with large language models (LLMs) for zero-shot inferences about psychological functioning.
