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Context-aware Experience Sampling for Depressive Patients

We propose a collaborative, context-aware, and multi-modal experience sampling method called CoESM to record experience samples of depressed patients. The CoESM utilizes location and activity sensors on a mobile device to detect a depressed patient’s physical and social activity levels. We hope that through collaboration, context-awareness, and multi-modality input, the CoESM can help a psychologist gain better understanding of patients.