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 …
D Zhou, J Luo, V Silenzio, Y Zhou, J Hu… - Proceedings of the …, 2015 - ojs.aaai.org
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 …
N Yamamoto, K Ochiai, A Inagaki… - … on mobile computing …, 2018 - ieeexplore.ieee.org
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 …