research-article

Smartphone usage behavior between depressed and non-depressed students: an exploratory study in the context of Bangladesh

Authors:

Md. Sabbir Ahmed,

Rahat Jahangir Rony,

Tanvir Hasan,

Nova AhmedAuthors Info & Claims

UbiComp/ISWC '20 Adjunct: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

Pages 675 - 679

https://doi.org/10.1145/3410530.3414441

Published: 12 September 2020 Publication History

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Abstract

Increasing smartphone usage has received much scholarly attention to investigate its impact on mental health. To our best knowledge, none of the previous studies have explored smartphone usage behavior of depressed students. In this study, using 7 days' actual smartphone usage data of 44 students, we present the smartphone usage behavior that varies between depressed and non-depressed students. Our findings show that in terms of aggregated smartphone usage data, these two groups of students use similar number of apps. However, depressed students' frequency of launch per app is significantly higher. Moreover, they use Communication category apps more and their diurnal usage pattern is also significantly different. Therefore, our findings show the possibility to differentiate depressed and non-depressed students based on their smartphone usage data.

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Cited By

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Ahmed MHasan TIslam SAhmed N(2024)Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide StudyJMIR Research Protocols10.2196/5154013(e51540)Online publication date: 24-Apr-2024
https://doi.org/10.2196/51540
Walsh ANaughton GSharpe TZajkowska ZMalys Mvan Heerden AMondelli V(2024)A collaborative realist review of remote measurement technologies for depression in young peopleNature Human Behaviour10.1038/s41562-023-01793-58:3(480-492)Online publication date: 15-Jan-2024
https://doi.org/10.1038/s41562-023-01793-5
Ahmed SKhan SAhmed N(2023)Is There Any Relation Between Smartphone Usage and Loneliness During the COVID-19 Pandemic?: A Study by Exploring Two Objective App Usage DatasetsEAI Endorsed Transactions on Pervasive Health and Technology10.4108/eetpht.9.36639Online publication date: 2-Aug-2023
https://doi.org/10.4108/eetpht.9.3663
Show More Cited By

Index Terms

Smartphone usage behavior between depressed and non-depressed students: an exploratory study in the context of Bangladesh
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Information & Contributors

Information

Published In

September 2020

732 pages

ISBN:9781450380768

DOI:10.1145/3410530

General Chairs:
Monica Tentori
CICESE, Mexico
,
Nadir Weibel
UC San Diego
,
Kristof Van Laerhoven
University of Siegen, Germany
,
Program Chairs:
Gregory Abowd
Georgia Tech
,
Flora Salim
RMIT, Australia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2020

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Eastern University, Bangladesh

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UbiComp/ISWC '20

Sponsor:

UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers

September 12 - 17, 2020

Virtual Event, Mexico

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all

Ahmed MHasan TIslam SAhmed N(2024)Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide StudyJMIR Research Protocols10.2196/5154013(e51540)Online publication date: 24-Apr-2024
https://doi.org/10.2196/51540
Walsh ANaughton GSharpe TZajkowska ZMalys Mvan Heerden AMondelli V(2024)A collaborative realist review of remote measurement technologies for depression in young peopleNature Human Behaviour10.1038/s41562-023-01793-58:3(480-492)Online publication date: 15-Jan-2024
https://doi.org/10.1038/s41562-023-01793-5
Ahmed SKhan SAhmed N(2023)Is There Any Relation Between Smartphone Usage and Loneliness During the COVID-19 Pandemic?: A Study by Exploring Two Objective App Usage DatasetsEAI Endorsed Transactions on Pervasive Health and Technology10.4108/eetpht.9.36639Online publication date: 2-Aug-2023
https://doi.org/10.4108/eetpht.9.3663
Ahmed MAhmed N(2023)A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning–Based ApproachJMIR Formative Research10.2196/288487(e28848)Online publication date: 10-Aug-2023
https://doi.org/10.2196/28848
Ahmed MHasan TRahman MAhmed N(2023)A Rule Mining and Bayesian Network Analysis to Explore the Link Between Depression and Digital Behavioral Markers of Games App UsagePervasive Computing Technologies for Healthcare10.1007/978-3-031-34586-9_37(557-569)Online publication date: 11-Jun-2023
https://doi.org/10.1007/978-3-031-34586-9_37
Lazarotto Schroeder GHeckler WFrancisco RBarbosa J(2022)Problematic smartphone use on mental health: a systematic mapping study and taxonomyBehaviour & Information Technology10.1080/0144929X.2022.214942242:16(2808-2831)Online publication date: 14-Dec-2022
https://doi.org/10.1080/0144929X.2022.2149422
Ahmed MAhmed N(2022)Exploring Unique App Signature of the Depressed and Non-depressed Through Their Fingerprints on AppsPervasive Computing Technologies for Healthcare10.1007/978-3-030-99194-4_15(218-239)Online publication date: 23-Mar-2022
https://doi.org/10.1007/978-3-030-99194-4_15
Ahmed MJahangir Rony RAhmed N(2021)Identifying High and Low Academic Result Holders Through Smartphone Usage DataProceedings of the Asian CHI Symposium 202110.1145/3429360.3468192(114-121)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3429360.3468192

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