Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9317
Title: Impact of mood changes on application selection
Authors: Visuri, Aku 
Sarsenbayeva, Zhanna 
Goncalves, Jorge 
Karapanos, Evangelos 
Jones, Simon L. 
Keywords: Application usage
Behaviour
Mood-sensing
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
Rights: © 2016 ACM.
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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