Impact of Mood Changes on Application Selection

Aku Visuri, Zhanna Sarsenbayeva, Jorge Goncalves, Evangelos Karapanos, Simon Jones

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

11 Citations (SciVal)
161 Downloads (Pure)


Users of quantified self applications habitually log and track personal information, such as mood. Attempts to automate the procedure of logging mood have been made, but applications themselves rarely provide insights into the user’s mental well-being. In this paper we explore data from two small scale studies related to mobile device usage and mood tracking. We analyse associations between user’s mood throughout the day and the use of smartphone applications from different categories. Our analysis provides insights into the user’s behaviour based on their device usage. These
insights mean that QS applications can independently use simple analysis tools to provide similar insights for the user.
Original languageEnglish
Title of host publicationNew Frontiers of Quantified Self 2 Workshop @ UbiComp '16
PublisherAssociation for Computing Machinery
Publication statusPublished - 12 Sept 2016
EventACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) - Heidelberg, Germany
Duration: 12 Sept 201616 Sept 2016


ConferenceACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016)
Abbreviated titleUbiComp 2016


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