Remarkable advances in smartphone technology, especially in terms of passive sensing,
have enabled researchers to passively monitor user behavior in real-time and at a …

Measuring mental well-being with mobile sensing has been an increasingly active research
topic. Pervasiveness of smartphones combined with the convenience of mobile app …

Most of the existing work concerning the analysis of emotional states and mobile phone
interaction has been based on correlation analysis. In this paper, for the first time, we carry …

Momentary experiences of positive and negative emotionality---also referred to as state
affect---are core components of well-being and performance. The ability to unobtrusively …

Emotions are an intrinsic part of the social media user experience that can evoke negative
behaviors such as cyberbullying and trolling. Detecting the emotions of social media users …

Mental illness is becoming a major plague in modern societies and poses challenges to the
capacity of current public health systems worldwide. With the widespread adoption of social …

Depression is a serious mental health problem. Recently, researchers have proposed novel
approaches that use sensing data collected passively on smartphones for automatic …

Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …

Depression is a prevalent mental disorder. Current clinical and self-reported assessment
methods of depression are laborious and incur recall bias. Their sporadic nature often …

Recently, inferring the state of people's mental health via passive mobile sensing has
attracted significant attention. Previous studies have used the self-assessed stress levels as …