research-article

Supporting smartphone-based behavioral activation: a simulation study

Authors:

Jakob E. Bardram,

Darius A. Rohani,

Nanna Tuxen,

Maria Faurholt-Jepsen,

Lars V. KessingAuthors Info & Claims

UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

Pages 830 - 843

https://doi.org/10.1145/3123024.3125617

Published: 11 September 2017 Publication History

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Abstract

Behavioral activation has shown to be a simple yet effective therapy for depressive patients. The method relies on extensive collection of patient reported activity data on an hourly basis. We are currently in the process of designing a smartphone-based behavioral activation system for depressive disorders. However, it is an open question to what degree patients would use this approach given the high demand for user input. In order to investigate this question, we collected paper-based behavioral activation forms from 5 patients, covering in total 18 weeks, 115 days, and 1,614 hours of self-reported activity data. In this paper we present an analysis of this data and discuss the implications for the design of a smartphone-based system for behavioral activation.

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Cited By

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Oewel BAzizan NArean PAgapie E(2024)Technology's Role in Fostering Therapist-Client Collaboration and Engagement with GoalsProceedings of the ACM on Human-Computer Interaction10.1145/36870558:CSCW2(1-28)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687055
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642856
Kornfield RMohr DRanney RLattie EMeyerhoff JWilliams JReddy M(2022)Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health MessagesProceedings of the ACM on Human-Computer Interaction10.1145/35129466:CSCW1(1-30)Online publication date: 7-Apr-2022
https://dl.acm.org/doi/10.1145/3512946
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Index Terms

Supporting smartphone-based behavioral activation: a simulation study
1. Applied computing
  1. Law, social and behavioral sciences
    1. Psychology
  2. Life and medical sciences
    1. Consumer health
2. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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Information & Contributors

Information

Published In

UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

September 2017

1089 pages

ISBN:9781450351904

DOI:10.1145/3123024

General Chairs:
Seungyon "Claire" Lee
Google
,
Leila Takayama
UC Santa Cruz
,
Khai Truong
University of Toronto

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].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 September 2017

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Research-article

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Innovation Fund Denmark

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UbiComp '17

Sponsor:

UbiComp '17: The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 11 - 15, 2017

Hawaii, Maui

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

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Cited By

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Oewel BAzizan NArean PAgapie E(2024)Technology's Role in Fostering Therapist-Client Collaboration and Engagement with GoalsProceedings of the ACM on Human-Computer Interaction10.1145/36870558:CSCW2(1-28)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687055
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642856
Kornfield RMohr DRanney RLattie EMeyerhoff JWilliams JReddy M(2022)Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health MessagesProceedings of the ACM on Human-Computer Interaction10.1145/35129466:CSCW1(1-30)Online publication date: 7-Apr-2022
https://dl.acm.org/doi/10.1145/3512946
Sien SMohan SMcGrenere J(2022)Exploring Design Opportunities for Supporting Mental Wellbeing Among East Asian University Students in CanadaProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517710(1-16)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517710
Denecke KSchmid NNüssli S(2021)How Do eMental Health Apps Implement Cognitive Behavioral Therapy: A Literature Review (Preprint)Journal of Medical Internet Research10.2196/27791Online publication date: 6-Feb-2021
https://doi.org/10.2196/27791
Lee KCho HToshnazarov KNarziev NRhim SHan KNoh YHong HBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Toward Future-Centric Personal Informatics: Expecting Stressful Events and Preparing Personalized Interventions in Stress ManagementProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376475(1-13)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376475
Kornfield RZhang RNicholas JSchueller SCambo SMohr DReddy MBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of DepressionProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376309(1-17)Online publication date: 21-Apr-2020
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Sanches PJanson AKarpashevich PNadal CQu CDaudén Roquet CUmair MWindlin CDoherty GHöök KSas CBrewster SFitzpatrick GCox AKostakos V(2019)HCI and Affective HealthProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300475(1-17)Online publication date: 2-May-2019
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Rohani DTuxen NQuemada Lopategui AKessing LBardram J(2018)Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods StudyJMIR Mental Health10.2196/101225:2(e10122)Online publication date: 28-Jun-2018
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