research-article

StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones

Authors:

Gabriella Harari,

Stefanie Tignor,

Andrew T. CampbellAuthors Info & Claims

UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 3 - 14

https://doi.org/10.1145/2632048.2632054

Published: 13 September 2014 Publication History

Abstract

Much of the stress and strain of student life remains hidden. The StudentLife continuous sensing app assesses the day-to-day and week-by-week impact of workload on stress, sleep, activity, mood, sociability, mental well-being and academic performance of a single class of 48 students across a 10 week term at Dartmouth College using Android phones. Results from the StudentLife study show a number of significant correlations between the automatic objective sensor data from smartphones and mental health and educational outcomes of the student body. We also identify a Dartmouth term lifecycle in the data that shows students start the term with high positive affect and conversation levels, low stress, and healthy sleep and daily activity patterns. As the term progresses and the workload increases, stress appreciably rises while positive affect, sleep, conversation and activity drops off. The StudentLife dataset is publicly available on the web.

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cover image ACM Conferences

UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2014

973 pages

ISBN:9781450329682

DOI:10.1145/2632048

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Copyright © 2014 ACM.

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Published: 13 September 2014

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September 13 - 17, 2014

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Fernandes JRivadeneira JRodrigues ABoavida FSá Silva J(2025)People 4.0 — A model for Human-in-the-Loop CPS-based systemsComputer Standards & Interfaces10.1016/j.csi.2024.10389591(103895)Online publication date: Jan-2025
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