Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

The lack of sufficient big data-based approaches impedes the development of human
resource management (HRM) research and practices. Although scholars have realized the …

Background Wearable and mobile devices that capture multimodal data have the potential
to identify risk factors for high stress and poor mental health and to provide information to …

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 …

In this paper, we present a novel approach to predict crime in a geographic space from
multiple data sources, in particular mobile phone and demographic data. The main …

Research has proven that stress reduces quality of life and causes many diseases. For this
reason, several researchers devised stress detection systems based on physiological …

Boredom is a common human emotion which may lead to an active search for stimulation.
People often turn to their mobile phones to seek that stimulation. In this paper, we tackle the …

The delivery of mental health interventions via ubiquitous devices has shown much promise.
A conversational chatbot is a promising oracle for delivering appropriate just-in-time …

In order to model students' happiness, we apply machine learning methods to data collected
from undergrad students monitored over the course of one month each. The data collected …

In recent years, emotion recognition algorithms have achieved high efficiency, allowing the
development of various affective and affect-aware applications. This advancement has taken …