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research-article

Patterns of behavior change in students over an academic term

Authors:

Gabriella M. Harari,

Samuel D. Gosling,

Andrew T. CampbellAuthors Info & Claims

Computers in Human Behavior, Volume 67, Issue C

Pages 129 - 138

https://doi.org/10.1016/j.chb.2016.10.027

Published: 01 February 2017 Publication History

Abstract

The recent arrival of smartphone-sensing methods has made it possible to objectively track consequential everyday health-related behaviors rather than rely on self-reports. To evaluate the viability of using sensing methods to monitor such behaviors in detail, the present research used a smartphone-sensing application to describe the patterns of stability and change that characterize a cohort of students' activity and sociability behaviors over the course of a 10-week academic term. Data were collected from 48 students using a smartphone-sensing application, StudentLife, which was designed to track daily durations of activity (via the accelerometer sensor) and sociability (via the microphone sensor). Results showed stability estimates were moderate to high for activity (rmean=0.66) and sociability (rmean=0.72) across the 10 weeks. Students started the term with generally healthy levels of activity (M=1.87h) and sociability (M=4.99h), which then dropped (activity by 0.42h, sociability by 0.90h) over the first half of the term (i.e., before midterm exams). Over the second half of the term, activity levels did not change but sociability increased (by 0.88h). Students ethnicity and academic class predicted variation in the activity and sociability trajectories. Discussion focuses on the implications of our results for designing mHealth interventions to address consequential student outcomes (e.g., mental health, physical health). Study evaluates viability of using smartphone app to track health-related behaviors.48 students used app that collected accelerometer and microphone data for 10 weeks.Stability estimates for weekly activity and sociability were moderate to high.Durations of weekly activity and sociability decreased during first half of term.Ethnicity and academic class predicted variation in the behavior trajectories.

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Cited By

Moura ITeles AViana DMarques JCoutinho LSilva F(2023)Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interestJournal of Biomedical Informatics10.1016/j.jbi.2022.104278138:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.jbi.2022.104278
Wang WNepal SHuckins JHernandez LVojdanovski VMack DPlomp JPillai AObuchi MdaSilva AMurphy EHedlund ERogers CMeyer MCampbell A(2022)First-Gen LensProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35431946:2(1-32)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3543194
Moura ITeles ACoutinho LSilva F(2022)Towards identifying context-enriched multimodal behavioral patterns for digital phenotyping of human behaviorsFuture Generation Computer Systems10.1016/j.future.2022.01.022131:C(227-239)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1016/j.future.2022.01.022
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Published In

cover image Computers in Human Behavior

Computers in Human Behavior Volume 67, Issue C

February 2017

313 pages

ISSN:0747-5632

Issue’s Table of Contents

Copyright © Elsevier Ltd.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 February 2017

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Cited By

Moura ITeles AViana DMarques JCoutinho LSilva F(2023)Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interestJournal of Biomedical Informatics10.1016/j.jbi.2022.104278138:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.jbi.2022.104278
Wang WNepal SHuckins JHernandez LVojdanovski VMack DPlomp JPillai AObuchi MdaSilva AMurphy EHedlund ERogers CMeyer MCampbell A(2022)First-Gen LensProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35431946:2(1-32)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3543194
Moura ITeles ACoutinho LSilva F(2022)Towards identifying context-enriched multimodal behavioral patterns for digital phenotyping of human behaviorsFuture Generation Computer Systems10.1016/j.future.2022.01.022131:C(227-239)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1016/j.future.2022.01.022
Keusch FWenz AConrad F(2022)Do you have your smartphone with you? Behavioral barriers for measuring everyday activities with smartphone sensorsComputers in Human Behavior10.1016/j.chb.2021.107054127:COnline publication date: 9-Apr-2022
https://dl.acm.org/doi/10.1016/j.chb.2021.107054
Zhang HIbrahim AParsia BPoliakoff EHarper S(2022)Passive social sensing with smartphones: a systematic reviewComputing10.1007/s00607-022-01112-2105:1(29-51)Online publication date: 12-Aug-2022
https://dl.acm.org/doi/10.1007/s00607-022-01112-2
Meegahapola LRuiz-Correa SRobledo-Valero VHernandez-Huerfano EAlvarez-Rivera LChenu-Abente RGatica-Perez D(2021)One More Bite? Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-ReportsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34481205:1(1-28)Online publication date: 30-Mar-2021
https://dl.acm.org/doi/10.1145/3448120
Tominaga TYamamoto SKurashima TToda H(2021)Effects of Personal Characteristics on Temporal Response Patterns in Ecological Momentary AssessmentsHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85607-6_1(3-22)Online publication date: 30-Aug-2021
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Heo JLim HYun SJu SPark SLee RHsiao SCunningham JMcCarthy KLynch GBrooks CFerguson RHoppe U(2019)Descriptive and Predictive Modeling of Student Achievement, Satisfaction, and Mental Health for Data-Driven Smart Connected Campus Life ServiceProceedings of the 9th International Conference on Learning Analytics & Knowledge10.1145/3303772.3303792(531-538)Online publication date: 4-Mar-2019
https://dl.acm.org/doi/10.1145/3303772.3303792
Gong JHuang YChow PFua KGerber MTeachman BBarnes L(2019)Understanding behavioral dynamics of social anxiety among college students through smartphone sensorsInformation Fusion10.1016/j.inffus.2018.09.00249:C(57-68)Online publication date: 1-Sep-2019
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Ju SPark SLim HYun SHeo J(2018)Spatial-Data-Driven Student CharacterizationProceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility10.1145/3283590.3283591(1-7)Online publication date: 6-Nov-2018
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