Recent advances in ubiquitous sensing, such as accessible, wearable sensing technology and the emerging field of big data analytics have sparked the current wave of interest in self-tracking by means of personal wearable devices that quantify everyday activities and improve behaviours and processes. This trend is quickly extending into the workplace: It is estimated that by 2020, over 75 million wearable devices will be used in the workplace (Kaul and Wheelock, 2016). In this context, knowledge extracted from pervasive sensor data can lead to improvements in the health and productivity of workers and to gains in data-driven operational efficiency across a wide spectrum of sectors.