S
Stephen M. Schueller
Researcher at University of California, Irvine
Publications - 130
Citations - 8262
Stephen M. Schueller is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Mental health & Psychological intervention. The author has an hindex of 38, co-authored 109 publications receiving 5711 citations. Previous affiliations of Stephen M. Schueller include University of California, Berkeley & University of Pennsylvania.
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Journal ArticleDOI
Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
Sohrab Saeb,Mi Zhang,Chris Karr,Stephen M. Schueller,Marya E. Corden,Konrad P. Kording,David C. Mohr +6 more
TL;DR: The detection of daily-life behavioral markers using mobile phone global positioning systems and usage sensors and their use in identifying depressive symptom severity suggest that phone sensors offer numerous clinical opportunities, including continuous monitoring of at-risk populations with little patient burden and interventions that can provide just-in-time outreach.
Journal ArticleDOI
Behavioral intervention technologies: Evidence review and recommendations for future research in mental health.
David C. Mohr,Michelle Nicole Burns,Stephen M. Schueller,Gregory N. Clarke,Michael S. Klinkman +4 more
TL;DR: For BITs to have a public health impact, research on implementation and application to prevention is required and research focused on understanding reach, adherence, barriers and cost is recommended.
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Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.
TL;DR: A layered, hierarchical model for translating raw sensor data into markers of behaviors and states related to mental health is provided, focused principally on smartphones, but also including studies of wearables, social media, and computers.
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The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions
TL;DR: The BIT model provides a step towards formalizing the translation of developer aims into intervention components, larger treatments, and methods of delivery in a manner that supports research and communication between investigators on how to design, develop, and deploy BITs.
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Pursuit of pleasure, engagement, and meaning: Relationships to subjective and objective measures of well-being
TL;DR: In this paper, the authors explored the relationship between the pursuit of each of these pathways and well-being and found that engaging and meaningful activities may have stronger influences on wellbeing than pursuing pleasure.