Automatic Detection of Psychological Distress Indicators and Severity Assessment from Online Forum Posts

Verbal indicators of psychological distress in interactive dialogue with a virtual human

Looking At The Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress

Psychological distress is a significant and growing issue in society. Automatic detection, assessment, and analysis of such distress is an active area of research. Compared to modalities such as face, head, and vocal, re…

Estimating IRI based on pavement distress type, density, and severity: Insights from machine learning techniques

Surface roughness is primary measure of pavement performance that has been associated with ride quality and vehicle operating costs. Of all the surface roughness indicators, the International Roughness Index (IRI) is the…

The Distress Analysis Interview Corpus of human and computer interviews

The Distress Analysis Interview Corpus (DAIC) contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post traumatic stress disorder. The inter…

Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets

In 2016, United Kingdom (UK) citizens voted to leave the European Union (EU), which was officially implemented in 2020. During this period, UK residents experienced a great deal of uncertainty around the UK's continued r…