research-article

Tell me your apps and I will tell you your mood: correlation of apps usage with bipolar disorder state

Authors:

Jorge Alvarez-Lozano,

Maria Faurholt-Jepsen,

Lars Vedel KessingAuthors Info & Claims

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 19, Pages 1 - 7

https://doi.org/10.1145/2674396.2674408

Published: 27 May 2014 Publication History

Abstract

Bipolar Disorder is a disease that is manifested with cycling periods of polar episodes, namely mania and depression. Depressive episodes are manifested through disturbed mood, psychomotor retardation, behaviour change, decrease in energy levels and length of sleep. Manic episodes are manifested through elevated mood, psychomotor acceleration and increase in intensity of social interactions. In this paper we report results of a clinical trial with bipolar patients that amongst other aspects, investigated whether changes in general behaviour of patients due to onset of a bipolar episode, can be captured through the analysis of smartphone usage. We have analysed changes in smartphone usage, specifically app usage and how these changes correlate with the self-reported patient state. We also used psychiatric evaluation scores provided by the clinic to understand correlation of the patient smartphone behaviour before the psychiatric evaluation and after the psychiatric evaluation. The results show that patients have strong correlation of patterns of app usage with different aspects of their self-reported state including mood, sleep and irritability. While, on the other hand, the patients' application usage shows discernable changes in the period before and after psychiatric evaluation.

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Cited By

Semente EHaragaes R(2024)Adopting of Smartphone Technologies Amongst Older Adults in Windhoek, NamibiaInternational Journal of Applied Management Sciences and Engineering10.4018/IJAMSE.33956711:1(1-23)Online publication date: 26-Feb-2024
https://doi.org/10.4018/IJAMSE.339567
Chan HCheng ZMendolia SPaloyo ATani MProulx DSavage DTorgler B(2024)Residential mobility restrictions and adverse mental health outcomes during the COVID-19 pandemic in the UKScientific Reports10.1038/s41598-024-51854-614:1Online publication date: 20-Jan-2024
https://doi.org/10.1038/s41598-024-51854-6
Volpe UElkholy HGargot TPinto da Costa MOrsolini L(2024)Devices, Mobile Health, and Digital PhenotypingTasman’s Psychiatry10.1007/978-3-030-51366-5_151(5191-5216)Online publication date: 5-Sep-2024
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cover image ACM Other conferences

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 2014

408 pages

ISBN:9781450327466

DOI:10.1145/2674396

Conference Chair:
Fillia Makedon
University of Texas at Arlington
,
Program Chairs:
Mark Clements
Georgia Institute of Technology
,
Catherine Pelachaud
TELECOM ParisTech, France
,
Vana Kalogeraki
Athens University of Economics and Bus
,
Ilias Maglogiannis
University of Piraeus, Greece

Copyright © 2014 ACM.

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 the author(s) 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].

Sponsors

iPerform Center: iPerform Center for Assistive Technologies to Enhance Human Performance
CSE@UTA: Department of Computer Science and Engineering, The University of Texas at Arlington
HERACLEIA: HERACLEIA Human-Centered Computing Laboratory at UTA
U of Tex at Arlington: U of Tex at Arlington
NCRS: Demokritos National Center for Scientific Research
Fulbrigh, Greece: Fulbright Foundation, Greece

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2014

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PETRA '14

Sponsor:

iPerform Center
CSE@UTA
HERACLEIA
U of Tex at Arlington
NCRS
Fulbrigh, Greece

PETRA '14: The 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 27 - 30, 2014

Rhodes, Greece

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Cited By

Semente EHaragaes R(2024)Adopting of Smartphone Technologies Amongst Older Adults in Windhoek, NamibiaInternational Journal of Applied Management Sciences and Engineering10.4018/IJAMSE.33956711:1(1-23)Online publication date: 26-Feb-2024
https://doi.org/10.4018/IJAMSE.339567
Chan HCheng ZMendolia SPaloyo ATani MProulx DSavage DTorgler B(2024)Residential mobility restrictions and adverse mental health outcomes during the COVID-19 pandemic in the UKScientific Reports10.1038/s41598-024-51854-614:1Online publication date: 20-Jan-2024
https://doi.org/10.1038/s41598-024-51854-6
Volpe UElkholy HGargot TPinto da Costa MOrsolini L(2024)Devices, Mobile Health, and Digital PhenotypingTasman’s Psychiatry10.1007/978-3-030-51366-5_151(5191-5216)Online publication date: 5-Sep-2024
https://doi.org/10.1007/978-3-030-51366-5_151
Gopalakrishnan AGururajan RZhou XVenkataraman RChan KHiggins N(2024)A survey of autonomous monitoring systems in mental healthWIREs Data Mining and Knowledge Discovery10.1002/widm.152714:3Online publication date: 24-Jan-2024
https://doi.org/10.1002/widm.1527
Xu TYu JDoyle DVoida S(2023)Technology-Mediated Strategies for Coping with Mental Health Challenges: Insights from People with Bipolar DisorderProceedings of the ACM on Human-Computer Interaction10.1145/36100317:CSCW2(1-31)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610031
Sarsenbayeva ZFleming CTag BWithana Avan Berkel NMcEwan A(2023)A Review on Mood Assessment Using SmartphonesHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42283-6_22(385-413)Online publication date: 25-Aug-2023
https://doi.org/10.1007/978-3-031-42283-6_22
Wen NMallavarapu ABiehl JWalker EBabichenko D(2023)Understanding Barriers of Missing Data in Personal Informatics SystemsPervasive Computing Technologies for Healthcare10.1007/978-3-031-34586-9_40(603-618)Online publication date: 11-Jun-2023
https://doi.org/10.1007/978-3-031-34586-9_40
Volpe UElkholy HGargot TPinto da Costa MOrsolini L(2023)Devices, Mobile Health and Digital PhenotypingTasman’s Psychiatry10.1007/978-3-030-42825-9_151-1(1-26)Online publication date: 2-Jun-2023
https://doi.org/10.1007/978-3-030-42825-9_151-1
Vega JBell BTaylor CXie JNg HHonary MMcNaney R(2022)Detecting Mental Health Behaviors Using Mobile Interactions: Exploratory Study Focusing on Binge EatingJMIR Mental Health10.2196/321469:4(e32146)Online publication date: 25-Apr-2022
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Currey DTorous J(2022)Digital phenotyping correlations in larger mental health samples: analysis and replicationBJPsych Open10.1192/bjo.2022.5078:4Online publication date: 3-Jun-2022
https://doi.org/10.1192/bjo.2022.507
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