Improving user engagement by aggregating and analysing health and fitness data on a mobile app

Leijdekkers, P; Gay, V

Improving user engagement by aggregating and analysing health and fitness data on a mobile app

Leijdekkers, P

Gay, V

Permalink

Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, 9102 pp. 325 - 330
Issue Date:: 2015-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Microsoft Word

Download Accepted Manuscript versionMicrosoft Word (226.5 kB)

Adobe PDF

Download Accepted ManuscriptAdobe PDF (263.78 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Leijdekkers, P https://orcid.org/0000-0003-3579-1175	en_US
dc.contributor.author	Gay, V https://orcid.org/0000-0002-4301-1995	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, 9102 pp. 325 - 330	en_US
dc.identifier.isbn	9783319193113	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120015
dc.description.abstract	© Springer International Publishing Switzerland 2015. Nowadays, health, fitness and contextual data can be ubiquitously collected using wearable devices, sensors and smart phones and be stored in various servers and devices. However, to engage users in active monitoring of their health and fitness, it is essential to personalise the monitoring and have all the relevant data in one place. It is also important to give users control on how their data is collected, analysed, presented and stored. This paper presents how those important features are integrated in myFitnessCompanion®, an Android Health and fitness app developed by our team. The app is able to aggregate data from multiple sources, keep it on the phone or export it to servers or Electronic Health Records (EHR). It can also present the aggregated data in a personalised manner. A mobile app such as myFitnessCompanion® is a solution to the personalisation, interoperability and control issues that are key to user engagement.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-319-19312-0_30	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Improving user engagement by aggregating and analysing health and fitness data on a mobile app	en_US
dc.type	Conference Proceeding
utslib.citation.volume	9102	en_US
utslib.for	080502 Mobile Technologies	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Geneva, Switzerland
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	9102	en_US

Abstract:

© Springer International Publishing Switzerland 2015. Nowadays, health, fitness and contextual data can be ubiquitously collected using wearable devices, sensors and smart phones and be stored in various servers and devices. However, to engage users in active monitoring of their health and fitness, it is essential to personalise the monitoring and have all the relevant data in one place. It is also important to give users control on how their data is collected, analysed, presented and stored. This paper presents how those important features are integrated in myFitnessCompanion®, an Android Health and fitness app developed by our team. The app is able to aggregate data from multiple sources, keep it on the phone or export it to servers or Electronic Health Records (EHR). It can also present the aggregated data in a personalised manner. A mobile app such as myFitnessCompanion® is a solution to the personalisation, interoperability and control issues that are key to user engagement.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/35995