EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes
Researchers have developed EmoTrack, a new framework designed to more accurately track depression severity from counseling transcripts. This system combines signals extracted by large language models with semantic embeddings from individual transcript turns. EmoTrack also incorporates a novel dataset, LongCounsel, which includes longitudinal data and supervision for repeated sessions, enabling better performance even with partial symptom disclosure across sessions. AI
IMPACT This research could enhance AI's role in mental health support by enabling more accurate and longitudinal tracking of depression severity from therapy sessions.