Detecting Perceived Unfair Treatment Among US College Students Using Mobile Sensing: Pilot Machine Learning Study
Mobile sensing shows promise for detecting daily experiences of PUT in college students and identifying associated behavioral patterns. Our findings highlight opportunities for timely interventions through mobile technology to mitigate the impact of these experiences on students' mental health and well-being.
Authors
- Anind K. Dey (ORCID: https://orcid.org/0000-0002-3004-0770)
- Jennifer Mankoff (ORCID: https://orcid.org/0000-0001-9235-5324)
- Raghu Mulukutla (ORCID: https://orcid.org/0000-0001-5822-0565)
- Yiyi Ren (ORCID: https://orcid.org/0000-0002-2084-4943)
Institutions
- Georgia Institute of Technology (US)
- University of Washington (US)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-09-21
- DOI
- https://doi.org/10.2196/78657
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00