We present a novel longitudinal multimodal corpus of physiological and behavioral data
collected from direct clinical providers in a hospital workplace. We designed the study to …

Hospital workers are known to work long hours in a highly stressful environment. The COVID-
19 pandemic has increased this burden multi-fold. Pre-COVID statistics already showed that …

As emerging technologies increasingly integrate into all facets of our lives, the workplace
stands at the forefront of potential transformative changes. A notable development in this …

Background Recent advances in mobile technologies for sensing human biosignals are
empowering researchers to collect real-world data outside of the laboratory, in natural …

Understanding social interactions is relevant across many domains and applications,
including psychology, behavioral sciences, human computer interaction, and healthcare. In …

As proposed by the healthy aging model of the World Health Organization (2015),
participation in social and cognitive activities is important for healthy aging and for …

The TILES-2019 data set consists of behavioral and physiological data gathered from 57
medical residents (ie, trainees) working in an intensive care unit (ICU) in the United States …

Over the recent years, machine learning techniques have been employed to produce state-
of-the-art results in several audio related tasks. The success of these approaches has been …

Identification of the acoustic environment from an audio recording, also known as acoustic
scene classification, is an active area of research. In this paper, we study dynamically …

Acoustic sensing has proved effective as a foundation for applications in health and human
behavior analysis. In this work, we focus on detecting in-person social interactions in …