ArticleProceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies2024
Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic.
Article in Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Introducing openESM: A database of openly available experience sampling datasets.Behavior research methods · 2026Article
- Meeting 24-hour movement guidelines among Canadian post-secondary students: temporal trends, disparities, and mental health associations.The international journal of behavioral nutrition and physical activity · 2026Article
- Metaheuristic-optimized cross-modal attention networks for multimodal mental health assessment in college students.Frontiers in systems neuroscience · 2026Article
- COVID-19 Stress and Resilience: A Longitudinal Cohort Study of First-Year College Students.Journal of adolescence · 2026Article
- A longitudinal study of sleep in university freshmen: facilitating and impeding factors.Sleep · 2025Article
- Personalised modelling of routine variability and affective states.NPJ digital medicine · 2025Article
- Article
- Current challenges and opportunities in active and passive data collection for mobile health sensing: a scoping review.JAMIA open · 2025Review
- Artificial intelligence (AI)-Enabled behavioral health application for college students: Pilot study protocol.PloS one · 2025Article
- MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024Article
- Developing a Career-Focused, Diverse Mentoring Program for Underrepresented STEM Undergraduates.The chronicle of mentoring & coaching · 2024Article
- Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App.Extended abstracts on Human factors in computing systems. CHI Conference · 2024Article
- Datasets of Smartphone Modalities for Depression Assessment: A Scoping Review.IEEE transactions on affective computingArticle
- Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students.Digital biomarkersArticle
- Designing Technologies for Value-based Mental Healthcare: Centering Clinicians' Perspectives on Outcomes Data Specification, Collection, and Use.Proceedings of the SIGCHI conference on human factors in computing systems. CHI ConferenceArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Understanding the dynamics of mental health among undergraduate students across the college years is of critical importance, particularly during a global pandemic. In our study, we track two cohorts of first-year students at Dartmouth College for four years, both on and off campus, creating the longest longitudinal mobile sensing study to date. Using passive sensor data, surveys, and interviews, we capture changing behaviors before, during, and after the COVID-19 pandemic subsides. Our findings reveal the pandemic's impact on students' mental health, gender based behavioral differences, impact of changing living conditions and evidence of persistent behavioral patterns as the pandemic subsides. We observe that while some behaviors return to normal, others remain elevated. Tracking over 200 undergraduate students from high school to graduation, our study provides invaluable insights into changing behaviors, resilience and mental health in college life. Conducting a long-term study with frequent phone OS updates poses significant challenges for mobile sensing apps, data completeness and compliance. Our results offer new insights for Human-Computer Interaction researchers, educators and administrators regarding college life pressures. We also detail the public release of the de-identified
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.