The use of ambulatory assessments (AAs) as an approach to gather self-reported
questionnaires or self-collected biochemical data is constantly increasing to investigate the …

Personality psychology has long focused on structural trait models, but it can also offer a rich
understanding of the dynamics, processes, mechanisms, and functioning of individual …

Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …

Real-world emotions are often more vivid, personally meaningful, and consequential than
those evoked in the lab. Therefore, studying emotions in daily life is essential to test theories …

Emotions are inherently complex–situated inside the brain while being influenced by
conditions inside the body and outside in the world–resulting in substantial variation in …

Background Increasing efforts toward the prevention of stress-related mental disorders have
created a need for unobtrusive real-life monitoring of stress-related symptoms. Wearable …

Background Stress plays an important role in the development of mental illness, and an
increasing number of studies is trying to detect moments of perceived stress in everyday life …

BackgroundAmbulatory monitoring is gaining popularity in mental and somatic health care
to capture an individual's wellbeing or treatment course in daily-life. Experience sampling …

The popularity of wearable physiological recording devices has opened up new possibilities
for the assessment of personality traits in everyday life. Compared with traditional …

Virtual reality experiences increasingly use physiological data for virtual environment
adaptations to evaluate user experience and immersion. Previous research required …