One in 5 Americans has a disability, and the needs of people with disabilities are extremely heterogeneous. Yet accessibility is not a given, and assistive technology today is mostly homogenous and very expensive. Our group is focused on the scientific challenges that can address accessibility across a broad range of domains.
Chikersal, P., Doryab, A., Tumminia, M., Villalba, D., Dutcher, J., Liu, X., Cohen, S., Creswell, K., Mankoff, J., Creswell, D., Goel, M., & Dey, A. “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), 2020. We present a … Continue reading Detecting Change in Depression
Dunivin Z, Zadunayski L, Baskota U, Siek K, Mankoff J. Gender, Soft Skills, and Patient Experience in Online Physician Reviews: A Large-Scale Text Analysis. Journal of Medical Internet Research. 2020;22(7):e14455. This study examines 154,305 Google reviews from across the United States for all medical specialties. Many patients use online physician reviews but we need to … Continue reading Gender in Online Doctor Reviews
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
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-sensed Behavioral Correlates of Discrimination Events in College Students
An ongoing, and very personal thread of research that our group engages in (due to my own journey with Lyme Disease, which I occasionally blog about here) is research into the impacts of Lyme Disease and opportunities for helping to support patients with Lyme Disease. From a patient perspective, Lyme disease is as tough to … Continue reading Lyme Disease’s Heterogeneous Impact
Ni, H., Cho, S., Mankoff, J., & Yang, J. (2017). Automated recognition of hypertension through overnight continuous HRV monitoring. Journal of Ambient Intelligence and Humanized Computing, 1-13. Hypertension is a common and chronic disease, caused by high blood pressure. Since hypertension often has no warning signs or symptoms, many cases remain undiagnosed. Untreated or sub-optimally controlled … Continue reading Hypertension recognition through overnight Heart Rate Variability sensing
Improving healthcare decision making with better workflow and information flow.
Johnson, L., Wilcox, S., Mankoff, J., & Stricker, R. B. (2014). Severity of chronic Lyme disease compared to other chronic conditions: a quality of life survey. PeerJ, 2, e322. The Centers for Disease Control and Prevention (CDC) health-related quality of life (HRQoL) indicators are widely used in the general population to determine the burden of … Continue reading Severity of Chronic Lyme Disease
People with chronic health problems use online resources to understand and manage their condition, but many such resources can present competing and confusing viewpoints. We surveyed and interviewed with people experiencing prolonged symptoms after a Lyme disease diagnosis. We explore how competing viewpoints in online content affect participants’ understanding of their disease. Our results illustrate … Continue reading Competing Online Viewpoints and Models of Chronic Illness