Mental State, Mood, and Emotion

The aim of this special issue is to discuss novel approaches, opportunities, and challenges for developing effective, ethical, and trustworthy pervasive computing technology for mental health and emotion. The accepted articles address a variety of topics, ranging from voice-based depression detection, wrist-worn sensor-based bipolar manic-euthymic state recognition, free-living audio-based conversation network estimation for mental health applications, comparison of wellbeing self-report via conversational agent and web app, meeting success prediction using nuanced emotions, and personalized sleep stage and sleep quality recognition using wearable sensors.