Abstract
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.
Original language | English |
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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 Sept 2018 → 6 Sept 2018 |
Conference
Conference | IoTsm 2018 - 2018 International Conference on Industrial Internet of Things and Smart Manufacturing |
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Country/Territory | United Kingdom |
City | London |
Period | 5/09/18 → 6/09/18 |