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. 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.

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