Assessment of individuals' job performance, personalized health and psychometric
measures are domains where data-driven ubiquitous computing will have a profound impact …

This research pioneers the application of a machine learning framework to predict the
perceived productivity of office workers using physiological, behavioral, and psychological …

While accurately predicting mood and wellbeing could have a number of important clinical
benefits, traditional machine learning (ML) methods frequently yield low performance in this …

Wearable devices have become ubiquitous, collecting rich temporal data that offers valuable
insights into human activities, health monitoring, and behavior analysis. Leveraging these …

Given the widespread adverse outcomes of stress–exacerbated by the current pandemic–
wearable sensing provides unique opportunities for automated stress tracking to inform well …

Employees often report the experience of stress at work. In the SWELL project we
investigate how new context aware pervasive systems can support knowledge workers to …

Subjective well-being (SWB) is a well-studied, widely used construct that refers to how
people feel and think about their lives as one of many comprehensive perspectives on well …

Workplace stress has been increasing in recent decades and has worsened by the unique
demands imposed by COVID-19 and the new remote/hybrid work settings. High-stress …

Stress is an unpleasant condition that entails negative emotions such as fear, worry and
nervousness. Motivated by existing research that accompanies stress with physical …

Eustress is literally the" good stress" that associated with positive feelings and health
benefits. Previous studies focused on general stress, where the concept of eustress has …