Recent behaviour change research often includesquantiﬁed elements such as level of activity and location toprovide a personalised behaviour change intervention. Contextinformation is important to improve the effectiveness of inter-ventions. For working environments, existing human behaviourtrackers lack the resolution for indoor monitoring; resulting ina potential loss of 8 hours of contextually relevant information.This paper addresses the development of a low-cost, privacy-preserving, infrastructure and a co-visualisation technique tohelp deﬁne behaviour change recommendations for a workingenvironment.
|Title of host publication||Proceeding of IoTsm 2018 - 2018 International Conference on Industrial Internet of Things and Smart Manufacturing|
|Publication status||Published - 1 Aug 2018|
|Event||IoTsm 2018 - 2018 International Conference on Industrial Internet of Things and Smart Manufacturing - Imperial College London, London, United Kingdom|
Duration: 5 Sep 2018 → 6 Sep 2018
|Conference||IoTsm 2018 - 2018 International Conference on Industrial Internet of Things and Smart Manufacturing|
|Period||5/09/18 → 6/09/18|