Depression and post-traumatic stress disorder (PTSD) are psychiatric conditions commonly associated with experiencing a traumatic event. Estimating mental health status through non-invasive techniques such as activity-based algorithms can help to identify successful early interventions. In this work, we used locomotor activity captured from 1113 individuals who wore a research grade smartwatch post-trauma. A convolutional variational autoencoder (VAE) architecture was used for unsupervised feature extraction from four weeks of actigraphy data… Read more

Ecological Momentary Assessment (EMA) is a data collection method that consists of asking individuals to answer questions pertaining to their behavior, feelings, and experiences in everyday life. While EMA provides benefits compared to retrospective self-reports, the frequency of prompts throughout the day can be burdensome. Leveraging advances in speech recognition and the popularity of conversational assistants, we study the usability of an EMA interface specifically aimed at minimizing the interruption burden caused by EMA… Read more