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Impact of mood changes on application selection |
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| Author: | Visuri, Aku1; Sarsenbayeva, Zhanna1; Goncalves, Jorge1; |
| Organizations: |
1University of Oulu 2Cyprus University of Technology 3University of Bath |
| Format: | article |
| Version: | draft |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.4 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe201702021433 |
| Language: | English |
| Published: |
Association for Computing Machinery,
2016
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| Publish Date: | 2016-09-12 |
| Description: |
AbstractUsers 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. see all
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| ISBN: | 978-1-4503-4462-3 |
| Pages: | 535 - 540 |
| DOI: | 10.1145/2968219.2968317 |
| OADOI: | https://oadoi.org/10.1145/2968219.2968317 |
| Host publication: |
UbiComp '16 : proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing : adjunct |
| Conference: |
ACM International Joint Conference on Pervasive and Ubiquitous Computing |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
113 Computer and information sciences |
| Subjects: | |
| Funding: |
This work is partially funded by the Academy of Finland (Grants 276786-AWARE, 285062-iCYCLE, 286386-CPDSS, 285459-iSCIENCE), and the European Commission (Grants PCIG11-GA-2012-322138, 645706-GRAGE, and 6AIKA-A71143-AKAI) |
| EU Grant Number: |
(645706) GRAGE - Grey and green in Europe: elderly living in urban areas (322138) URBANMOB - Modelling Urban Mobility in City-Scale Ubiquitous Systems |
| Academy of Finland Grant Number: |
276786 285062 286386 285459 |
| Detailed Information: |
276786 (Academy of Finland Funding decision) 285062 (Academy of Finland Funding decision) 286386 (Academy of Finland Funding decision) 285459 (Academy of Finland Funding decision) |
| Copyright information: |
© Visuri, Sarsenbayeva, Goncalves, Karapanos, Jones | ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, http://dx.doi.org/10.1145/2968219.2968317 |