Timing rather than user traits mediates mood sampling on smartphones

Noe, Beryl, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289, Linden, David ORCID: https://orcid.org/0000-0002-5638-9292, Allen, Stuart Michael ORCID: https://orcid.org/0000-0003-1776-7489, Maio, Gregory ORCID: https://orcid.org/0000-0001-5408-5829 and Whitaker, Roger ORCID: https://orcid.org/0000-0002-8473-1913 2017. Timing rather than user traits mediates mood sampling on smartphones. BMC Research Notes 10 , 481. 10.1186/s13104-017-2808-1

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Abstract

Objective: Recent years have seen an increasing number of studies using smartphones to sample participants’ mood states. Moods are usually collected by asking participants for their current mood or for a recollection of their mood states over a specific period of time. The current study investigates the reasons to favour collecting mood through current or daily mood surveys and outlines design recommendations for mood sampling using smartphones based on these findings. These recommendations are also relevant to more general smartphone sampling procedures. Results: N=64 participants completed a series of surveys at the beginning and end of the study providing information such as gender, personality, or smartphone addiction score. Through a smartphone application, they reported their current mood 3 times and daily mood once per day for 8 weeks. We found that none of the examined intrinsic individual qualities had an effect on matches of current and daily mood reports. However timing played a significant role: the last followed by the first reported current mood of the day were more likely to match the daily mood. Current mood surveys should be preferred for a higher sampling accuracy, while daily mood surveys are more suitable if compliance is more important.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Computer Science & Informatics Medicine Neuroscience and Mental Health Research Institute (NMHRI) Psychology
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	BioMed Central
ISSN:	1756-0500
Funders:	Wellcome Trust
Related URLs:	Publisher
Date of First Compliant Deposit:	19 September 2017
Date of Acceptance:	8 September 2017
Last Modified:	26 Jun 2024 01:05
URI:	https://orca.cardiff.ac.uk/id/eprint/104747

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