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dc.contributor.authorHänsel, Ken_US
dc.contributor.authorWilde, Nen_US
dc.contributor.authorHaddadi, Hen_US
dc.contributor.authorAlomainy, Aen_US
dc.date.accessioned2016-01-12T11:53:09Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/10433
dc.description.abstractHealth and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise when relating this to long term mention of wearable devices. Previous studies within this area are discussed. We also consider a new approach where data is used to support instead of motivate, through monitoring and logging to encourage reflection. Based on issues highlighted, we then make recommendations on the direction in which future work could be most beneficial.en_US
dc.rightsDOI: http://dx.doi.org/10.1145/0000000.0000000
dc.subjectcs.CYen_US
dc.subjectcs.CYen_US
dc.subjectcs.HCen_US
dc.titleWearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviouren_US
dc.typeArticle
pubs.author-urlhttp://arxiv.org/abs/1509.05238v2en_US
pubs.notesNot knownen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff


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