Mood sampling on smartphones

Noë, Beryl and Turner, Liam D and Linden, David E J and Allen, Stuart and Maio, Gregory R and Whitaker, Roger M (2017). Mood sampling on smartphones. [Data Collection]. Colchester, Essex: UK Data Archive. 10.5255/UKDA-SN-852732

This project seeks to determine the feasibility of using everyday human interaction with the smartphone to detect mood states for mental health monitoring. Smartphones are an increasingly useful proxy for human behaviour, accompanying their owners for a significant proportion of each day and mediating access to the web, diverse services and communication. Our hypothesis is that from focusing on daily patterns of human smartphone usage we can develop an accurate approach to mental health monitoring that is effective and unobtrusive.

Data description (abstract)

This data was collected using the custom made application "Tymer", which recorded smartphone use data and requested participants to fill in micro-surveys throughout the day, and surveys that participants filled out at either a briefing or debriefing session. The following describes the data collected and used for a study conducted by Beryl Noë, Liam D. Turner, David E. J. Linden, Stuart M. Allen, Gregory R. Maio and Roger M. Whitaker.

Data creators:
Creator NameEmailAffiliationORCID (as URL)
Noë, UniversityUnspecified
Turner, Liam UniversityUnspecified
Linden, David E UniversityUnspecified
Allen, UniversityUnspecified
Maio, Gregory of BathUnspecified
Whitaker, Roger UniversityUnspecified
Sponsors: Wellcome Trust
Topic classification: Science and technology
Keywords: mood, smartphone, smartphone addiction scale, BFI, personality, MCQ, impulsivity, delay discounting, demographic statistics
Project title: Using the smartphone to monitor mood states
Grant holders: Prof. David Linden, Prof. Roger Whitaker, Prof. Stuart Allen
Project dates:
1 August 201520 September 2016
Date published: 06 Jun 2017 16:10
Last modified: 09 Nov 2017 17:19

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