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

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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  • (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
  • (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
  • (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
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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Author Tags

  1. bipolar disorder
  2. clinical trial
  3. correlation
  4. depression
  5. mania
  6. patients
  7. smartphone apps

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  • Research-article

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PETRA '14
Sponsor:
  • iPerform Center
  • CSE@UTA
  • HERACLEIA
  • U of Tex at Arlington
  • NCRS
  • Fulbrigh, Greece

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Cited By

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  • (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
  • (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
  • (2024)Devices, Mobile Health, and Digital PhenotypingTasman’s Psychiatry10.1007/978-3-030-51366-5_151(5191-5216)Online publication date: 5-Sep-2024
  • (2024)A survey of autonomous monitoring systems in mental healthWIREs Data Mining and Knowledge Discovery10.1002/widm.152714:3Online publication date: 24-Jan-2024
  • (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
  • (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
  • (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
  • (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
  • (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
  • (2022)Digital phenotyping correlations in larger mental health samples: analysis and replicationBJPsych Open10.1192/bjo.2022.5078:4Online publication date: 3-Jun-2022
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