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

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication Pub Date : 2014-09-13 DOI:10.1145/2632048.2632054

Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella M. Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, A. Campbell

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引用次数: 942

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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学生生活:评估使用智能手机的大学生的心理健康、学习成绩和行为趋势

学生生活中的许多压力和紧张都被隐藏起来了。这款名为StudentLife的连续传感应用评估了每天和每周的工作量对达特茅斯学院(Dartmouth College)一个班48名学生的压力、睡眠、活动、情绪、社交能力、心理健康和学习成绩的影响，这些学生使用安卓手机，为期10周。StudentLife的研究结果显示，智能手机上的自动客观传感器数据与学生的心理健康和教育成果之间存在许多显著的相关性。我们还在数据中确定了达特茅斯的学期生命周期，表明学生在学期开始时具有较高的积极影响和对话水平，低压力，健康的睡眠和日常活动模式。随着学期的进展和工作量的增加，压力明显增加，而积极的影响，睡眠，谈话和活动减少。StudentLife数据集在网上是公开的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

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