The field of stress research is moving towards a more personalized and technology-driven approach. Recent studies have explored the use of wearable devices, machine learning algorithms, and online behaviors to detect and manage stress. Embodied approaches, such as using tangible means to express bodily sensations, have also shown promise in supporting stress self-disclosure among adolescent girls. Additionally, research has highlighted the importance of considering the context in which internet use occurs, as certain online activities can have varying associations with stress.

Noteworthy papers include: Conversations With The Stressed Body, which presents a co-design workshop using Embodied Probes to support stress self-disclosure among adolescent girls. Stress Bytes, which identifies associations between internet use and stress through a longitudinal multimodal study. Real-Time Stress Monitoring, Detection, and Management in College Students, which evaluates the efficacy of a mobile health intervention using wearable technology and machine learning for real-time stress detection and self-management. The Language of Interoception, which investigates the connection between emotion, embodiment, and everyday language through a corpus of body part mentions.