The UWEXP Study has been publishing research on a range of topics. Here are some publications to date
Xuhai Xu, Prerna Chikersal, Janine M. Dutcher, Yasaman S. Sefidgar, Seo Woosuk, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen,Kasey G. Creswell, Creswell, J. David, Afsaneh Doryab, Paula S. Nurius, Eve Riskin, Anind K. Dey, & Jennifer Mankoff. Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students. Proc. ACM … Continue reading Personalized behavior modeling: depression detection
Nurius, P. S., Sefidgar, Y. S., Kuehn, K. S, Jake, X, Zhang, H., Browning, A., Riskin, E., Dey, A. K., & Mankoff, J. Distress among undergraduates: Marginality, stressors and resilience supports. Journal of American College Health, 1-9. Stress and related mental health struggles are of growing concern at colleges and universities across the country and … Continue reading Distress and resilience among marginalized undergraduates
Han Zhang, Margaret E. Morris, Paula S. Nurius, Kelly Mack, Jennifer Brown, Kevin S. Kuehn, Yasaman S. Sefidgar, Xuhai Xu, Eve A. Riskin, Anind K. Dey and Jennifer Mankoff. Impact of Online Learning in the Context of COVID-19 on Undergraduates with Disabilities and Mental Health Concerns. ACM Transactions on Accessible Computing (TACCESS). The COVID-19 pandemic … Continue reading COVID-19 and Remote Learning for Students with Disabilities
Passive mobile sensing for the purpose of human state modeling is a fast-growing area. It has been applied to solve a wide range of behavior-related problems, including physical and mental health monitoring, affective computing, activity recognition, routine modeling, etc. However, in spite of the emerging literature that has investigated a wide range of application scenarios, … Continue reading Practices and Needs of Mobile Sensing Researchers
Mental health of UW students during Spring 2020 varied tremendously: the challenges of online learning during the pandemic were entwined with social isolation, family demands and socioeconomic pressures. In this context, individual differences in coping mechanisms had a big impact. The findings of this paper underline the need for interventions oriented towards problem-focused coping and … Continue reading College during COVID
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
See the UW News article featuring this study! 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 … Continue reading Passively-sensing Discrimination
Dutcher, J.M., Lederman, J., Jain, M., Price, S., Kumar, A., Villalba, D.K., Tumminia, M.J., Doryab, A., Cohen, S., Creswell, K.G., Mankoff, J., Dey, A., & Creswell, J.D. (In Press). Lack of Feelings of Belonging Predicts Depressive Symptomatology in College Students. Psychological Science.
Chikersal, P., Doryab, A., Tumminia, M., Villalba, D.K., Dutcher, J.M., Liu, X., Cohen, S., Creswell, K.G., Mankoff, J., Creswell, J.D., Goel, M., & Dey, A.K. (2021) Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing: A Machine Learning Approach With Robust Feature Selection. ACM Transactions on Computer-Human Interaction (TOCHI), 28, 1, Article 3 (January 2021).
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.
A Tech-Forward Approach
UW EXP uses data from surveys, phones, Fitbits, and more to capture a comprehensive understanding of the UW student experience.
The UWEXP study is an expensive study to run. Our funders have been crucial to our success. Currently, the study is funded by internally by the College of Engineering (including the Department of Electrical and Computer Engineering and the Allen School of Computer Science and Engineering), Population Health Initiative, and Alcohol and Drug Abuse Institute. In addition, we have funding from the National Science Foundation; Samsung Advanced Institute of Technology; and Google.
Overview of Findings
UW EXP is analyzing data from 2018 to understand who reports discrimination and how micro-climates in the College of Engineering may correlate with lower stress and depression.