As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …

Recent research has explored computational tools to manage workplace stress via personal
sensing, a measurement paradigm in which behavioral data streams are collected from …

We are witnessing an emergence in Passive Sensing enabled AI (PSAI) to provide dynamic
insights for performance and wellbeing of information workers. Hybrid work paradigms have …

Sensing technologies deployed in the workplace can unobtrusively collect detailed data
about individual activities and group interactions that are otherwise difficult to capture. A …

With the heightened digitization of the workplace, alongside the rise of remote and hybrid
work prompted by the pandemic, there is growing corporate interest in using passive …

Smartphones enable understanding human behavior with activity recognition to support
people's daily lives. Prior studies focused on using inertial sensors to detect simple activities …

Reflection on one's personal data can be an effective tool for supporting wellbeing.
However, current wellbeing reflection support tools tend to offer a one-size-fits-all approach …

Getting training data for machine learning (ML) prediction of mental illness on social media
data is labor intensive. To work around this, ML teams will extrapolate proxy signals, or …

One-way text messaging services have the potential to support psychological wellbeing at
scale without conversational partners. However, there is limited understanding of what …

Algorithmic estimations of worker behavior are gaining popularity. Passive Sensing–
enabled AI (PSAI) systems leverage behavioral traces from workers' digital tools to infer their …