IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v38y2019i10p1016-1027.html
   My bibliography  Save this article

Exploring temporal behaviour of app users completing ecological momentary assessments using mental health scales and mood logs

Author

Listed:
  • Raymond Bond
  • Anne Moorhead
  • Maurice Mulvenna
  • Siobhan O'Neill
  • Courtney Potts
  • Nuala Murphy

Abstract

Smartphone-based digital phenotyping can provide insight into mood, cognition and behaviour. In this study, data analytics was carried out with data generated from a maternal mental health app to address the following question: what is the temporal behaviour of users when completing ecological momentary assessments (EMAs) with EMAs in the form of mental health scales versus EMAs in the form of mood logs? The methodology involved using the Health Interaction Log Data Analytics (HILDA) pipeline to analyse 1461 app users. Clustering was used to characterise archetypical user engagement with the two forms of EMA. Users preferred mood log EMAs, with 6993 mood log completions compared to 2129 scale completions. Users are more willing to log moods at 9am and 12pm and complete mental health scales between 8pm and 10pm. The fewest number of mood logs and scale completions take place on Saturday followed by a Sunday. Whilst ‘happiness’ is the dominant mood during day times, ‘anxiety’ and ‘sadness’ peak during night times. The overall findings are that users prefer completing mood log EMAs and that the temporal behaviour of users engaging with EMAs in the form of mental health scales are distinctly different from how they engage with mood logs.

Suggested Citation

  • Raymond Bond & Anne Moorhead & Maurice Mulvenna & Siobhan O'Neill & Courtney Potts & Nuala Murphy, 2019. "Exploring temporal behaviour of app users completing ecological momentary assessments using mental health scales and mood logs," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(10), pages 1016-1027, October.
    • Handle: RePEc:taf:tbitxx:v:38:y:2019:i:10:p:1016-1027
    DOI: 10.1080/0144929X.2019.1648553
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2019.1648553
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0144929X.2019.1648553?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tbitxx:v:38:y:2019:i:10:p:1016-1027. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.