High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …

Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …

To accomplish forecasting of mood in real-world situations, affective computing systems
need to collect and learn from multimodal data collected over weeks or months of daily use …

Social determinants of health (SDOH) affect health outcomes, and knowledge of SDOH can
inform clinical decision-making. Automatically extracting SDOH information from clinical text …

Pain is a complex and subjective experience that poses a number of measurement
challenges. While self-report by the patient is viewed as the gold standard of pain …

Nowadays, recommender systems play an increasingly important role in the music scenario.
Generally, music preferences are related to internal and external conditions. For example …

Predicting a person's mood tomorrow, from data collected unobtrusively using wearable
sensors and smartphones, could have a number of beneficial clinical applications; however …

Affect recognition aims to detect a person's affective state based on observables, with the
goal to eg provide reasoning for decision making or support mental wellbeing. Recently …