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|Title:||Impact of mood changes on application selection||Authors:||Visuri, Aku
Jones, Simon L.
|Keywords:||Application usage;Behaviour;Mood-sensing||Category:||Electrical Engineering - Electronic Engineering - Information Engineering||Field:||Engineering and Technology||Issue Date:||12-Sep-2016||Publisher:||Association for Computing Machinery, Inc||Source:||2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016; Heidelberg; Germany; 12 September 2016 through 16 September 2016||Abstract:||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.||URI:||http://ktisis.cut.ac.cy/handle/10488/9317||ISBN:||978-145034462-3||DOI:||10.1145/2968219.2968317||Rights:||© 2016 ACM.||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
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