research-article

Designing daybuilder: an experimental app to support people with depression

Authors:

PDC '12: Proceedings of the 12th Participatory Design Conference: Exploratory Papers, Workshop Descriptions, Industry Cases - Volume 2

Pages 1 - 4

https://doi.org/10.1145/2348144.2348146

Published: 12 August 2012 Publication History

Get Access

Abstract

Daybuilder is an experimental smartphone app intended to support people with depression. It was designed in collaboration with six participants who had all received antidepressant medication within the last two years. The Daybuilder prototype was field tested with the same six participants for three to four weeks. All participants were interested in using an application like Daybuilder, immediately or in the future if they were to suffer from depression again. The study has shown it possible to design a smartphone app that people with depression find interesting and potentially supportive in their daily lives and in their clinical treatment. In this project we chose to work directly with the depressive people, without involving clinicians, in an effort to get as close as possible to the participants' needs and concerns. This approach caused certain difficulties in recruitment, required adaptation of design activities, and consideration of certain ethical issues. The seriousness and prevalence of depression in society make it urgent as a next step to do a comprehensive study to clarify possible clinical effects of using smartphone apps for this special user group.

References

[1]

Liam Bannon. (2011). Reimagining HCI: toward a more human-centered perspective. interactions 18, 4, 50--57.

Digital Library

Google Scholar

[2]

Bardram, J. et al. (2012). The MONARCA Self-Assessment System --- A Persuasive Personal Monitoring System for Bipolar Patients, IHI'12, ACM.

Digital Library

Google Scholar

[3]

Beyer, H., Holtzblatt, K. (1998). Contextual Design: Defining Customer-Centered Systems. Morgan Kaufmann Publishers.

Digital Library

Google Scholar

[4]

Depp, C. A. et al. (2010). Mobile Interventions for Severe Mental Illness, J Nervous and Mental Disease 198, 715--21.

Crossref

Google Scholar

[5]

Matthews, M., Doherty, G. (2011). In the mood: engaging teenagers in psychotherapy using mobile phones. CHI '11. ACM, 2947--56.

Digital Library

Google Scholar

[6]

Morris, M. et al. (2010). Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness. Journal of Internet Medical Research 12(2).

Crossref

Google Scholar

[7]

Oinas-Kukkonen, H. (2010). Behavior change support systems: The next frontier for web science. Web Science Conf.

Google Scholar

[8]

Olsen, L. R. et al. (2004) Prevalence of major depression and stress indicators in the Danish general population. Acta Psychiatrica Scandinavia 109, 96--103.

Crossref

Google Scholar

[9]

Prociow, P. A. and Crowe, J. A. (2010). Towards personalised ambient monitoring of mental health via mobile technologies. Technology and Health Care 18, 275--284.

Digital Library

Google Scholar

[10]

Schärer, LO et al. (2002). Life charts on a palmtop computer: first results of a feasability study with an electronic diary for bipolar patients. Bipolar disorders 4 (suppl 1): 107--108

Google Scholar

[11]

Videbech, P. (2011). www.netdoktor.dk/sygdomme/fakta/depression.htm, accessed September 13.

Google Scholar

[12]

WHO's MDI (2011). www.who-5.org, accessed September 23.

Google Scholar

Cited By

View all

Aggestrup ASvendsen SPræstegaard ALøventoft PNørregaard LKnorr UDam HFrøkjær EDanilenko KHageman IFaurholt-Jepsen MKessing LMartiny K(2023)Circadian Reinforcement Therapy in Combination With Electronic Self-Monitoring to Facilitate a Safe Postdischarge Period for Patients With Major Depression: Randomized Controlled TrialJMIR Mental Health10.2196/5007210(e50072)Online publication date: 27-Nov-2023
https://doi.org/10.2196/50072
Elledge DLee SStewart SPop RTrivedi MHughes J(2023)Examining a Resilience Mental Health App in Adolescents: Acceptability and Feasibility StudyJMIR Formative Research10.2196/380427(e38042)Online publication date: 22-Mar-2023
https://doi.org/10.2196/38042
Moulaei KBahaadinbeigy KMashoof EDinari F(2023)Design and development of a mobile-based self-care application for patients with depression and anxiety disordersBMC Medical Informatics and Decision Making10.1186/s12911-023-02308-y23:1Online publication date: 2-Oct-2023
https://doi.org/10.1186/s12911-023-02308-y
Show More Cited By

Index Terms

Designing daybuilder: an experimental app to support people with depression
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design

Recommendations

Informing Design of Suggestion and Self-Monitoring Tools through Participatory Experience Prototypes
PERSUASIVE 2014: Proceedings of the 9th International Conference on Persuasive Technology - Volume 8462

We aim to design a persuasive technology to help college students, who are particularly susceptible to sleep deprivation, get better, longer, and more regular sleep. In order to gain the insights of our future users, we applied a participatory design ...
Designing a personal health application for older adults to manage medications
IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium

Older adults with multiple chronic conditions are prone to care transitions, such as seeing a new doctor or being discharged after a prolonged hospital stay. These transitions are often uncoordinated and can imperil patients by omitted, duplicative, or ...
Looking for the unusual: how older adults utilize self-tracking techniques for health management
PervasiveHealth '16: Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare

Self-tracking applications for health management have become popular both in industry and in academia. Half of older adults in the U.S. track health indicators, but they rarely use technology for that purpose. We conduct a qualitative study to ...

Comments

Information & Contributors

Information

Published In

PDC '12: Proceedings of the 12th Participatory Design Conference: Exploratory Papers, Workshop Descriptions, Industry Cases - Volume 2

August 2012

162 pages

ISBN:9781450312967

DOI:10.1145/2348144

General Chair:
Jesper Simonsen
Roskilde University, DK
,
Program Chair:
Kim Halskov
Aarhus University, DK

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 August 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

PDC '12

Sponsor:

CPSR

PDC '12: 12th Participatory Design Conference

August 12 - 16, 2012

Roskilde, Denmark

Acceptance Rates

Overall Acceptance Rate 49 of 289 submissions, 17%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

17
Total Citations
View Citations
654
Total Downloads

Downloads (Last 12 months)31
Downloads (Last 6 weeks)2

Reflects downloads up to 26 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Aggestrup ASvendsen SPræstegaard ALøventoft PNørregaard LKnorr UDam HFrøkjær EDanilenko KHageman IFaurholt-Jepsen MKessing LMartiny K(2023)Circadian Reinforcement Therapy in Combination With Electronic Self-Monitoring to Facilitate a Safe Postdischarge Period for Patients With Major Depression: Randomized Controlled TrialJMIR Mental Health10.2196/5007210(e50072)Online publication date: 27-Nov-2023
https://doi.org/10.2196/50072
Elledge DLee SStewart SPop RTrivedi MHughes J(2023)Examining a Resilience Mental Health App in Adolescents: Acceptability and Feasibility StudyJMIR Formative Research10.2196/380427(e38042)Online publication date: 22-Mar-2023
https://doi.org/10.2196/38042
Moulaei KBahaadinbeigy KMashoof EDinari F(2023)Design and development of a mobile-based self-care application for patients with depression and anxiety disordersBMC Medical Informatics and Decision Making10.1186/s12911-023-02308-y23:1Online publication date: 2-Oct-2023
https://doi.org/10.1186/s12911-023-02308-y
Rahaman MFerdousy SMithila FAmina MPaul BMahmud K(2022)TakeCare: An Approach to Help Bangladeshi Young Adults During Depressive and Suicidal EpisodesICT Systems and Sustainability10.1007/978-981-19-5221-0_19(189-197)Online publication date: 1-Nov-2022
https://doi.org/10.1007/978-981-19-5221-0_19
Noorbergen TAdam MTeubner TCollins C(2021)Using Co-Design in mHealth Systems Development: A Qualitative Study with Experts in Co-design and mHealth System Development (Preprint)JMIR mHealth and uHealth10.2196/27896Online publication date: 11-Feb-2021
https://doi.org/10.2196/27896
Widnall EGrant CWang TCross LVelupillai SRoberts AStewart RSimonoff EDowns J(2020)A Qualitative Content Analysis of User Perspectives of Mood-Monitoring Apps Available to Young People. (Preprint)JMIR mHealth and uHealth10.2196/18140Online publication date: 23-Mar-2020
https://doi.org/10.2196/18140
Dodson JPreux NThang JEikey E(2020)Depression Management as Lifestyle Management: Exploring Existing Practices and Perceptions Among College StudentsSustainable Digital Communities10.1007/978-3-030-43687-2_19(237-255)Online publication date: 19-Mar-2020
https://doi.org/10.1007/978-3-030-43687-2_19
Melbye SKessing LBardram JFaurholt-Jepsen M(2019)Smartphone-based self-monitoring, treatment, and automatically generated data in children, adolescents, and young adults with psychiatric disorders: A systematic review (Preprint)JMIR Mental Health10.2196/17453Online publication date: 13-Dec-2019
https://doi.org/10.2196/17453
Paay JNielsen HLarsen HKjeldskov JBratteteig TSandnes FBerget G(2018)Happy bitsProceedings of the 10th Nordic Conference on Human-Computer Interaction10.1145/3240167.3240180(584-596)Online publication date: 29-Sep-2018
https://dl.acm.org/doi/10.1145/3240167.3240180
Baltasar-Tello IMiguélez-Fernández CPeñuelas-Calvo ICarballo J(2018)Ecological Momentary Assessment and Mood Disorders in Children and Adolescents: a Systematic ReviewCurrent Psychiatry Reports10.1007/s11920-018-0913-z20:8Online publication date: 1-Aug-2018
https://doi.org/10.1007/s11920-018-0913-z
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Informing Design of Suggestion and Self-Monitoring Tools through Participatory Experience Prototypes

Designing a personal health application for older adults to manage medications

Looking for the unusual: how older adults utilize self-tracking techniques for health management