The UWEXP Study has been publishing research on a range of topics. Here are some publications to date
Feelings of loneliness are associated with poor physical and mental health. Detection of loneliness through passive sensing on personal devices can lead to the development of interventions aimed at decreasing rates of loneliness. Doryab, Afsaneh, et al. “Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning … Continue reading Detecting Loneliness
The rate of depression in college students is rising, which is known to increase suicide risk, lower academic performance and double the likelihood of dropping out. Researchers have used passive mobile sensing technology to assess mental health. Existing work on finding relationships between mobile sensing and depression, as well as identifying depression via sensing features, … Continue reading Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students
A deeper understanding of how discrimination impacts psychological health and well-being of students would allow us to better protect individuals at risk and support those who encounter discrimination. While the link between discrimination and diminished psychological and physical well-being is well established, existing research largely focuses on chronic discrimination and long-term outcomes. A better understanding … Continue reading Passively-sensed Behavioral Correlates of Discrimination Events in College Students
Kuehn, K.S., Sefidgar, Y.S., Nurius, P., Browning, A., Riskin, E., Dey, A., & Mankoff, J. (October, 2019). Using Passive Data Monitoring and Machine Learning Algorithms to Examine Negative Affect and Coping Behaviors Among College Students Experiencing Suicidal Ideation. Paper presented at the 2019 IASR/AFSP International Summit on Suicide Research, Miami, FL.