Evaluating four devices that present operator emotions in real-time

Paper in proceeding, 2016

Industry 4.0, Internet of things and the field of Big Data, introduces challenges in terms of how to present and evaluate different types of data. An emerging field is how to use and incorporate new technology in industry in order to improve health, safety and enhance the human performance at working environment. One promising application is measuring physiological data combining it with work environment data to ensure a good working environment for the operator. A research project DIGitalized well-beINg (DIG IN) has the aim to show how operators’ well-being can be measured digitally and demonstrate how data can be used and presented in real-time. Four digital devices that measure physiological data (heart rhythm, EEG, activity, temperature) were tested in 13 lab experiments to examine how operators’ perceived the devices. As a further study the devices were tested during three types of activities (intuition, reasoning and physical load) and was evaluated using surveys. The evaluation included relevance of output data, industry applicability, real-time usage and general usability. Results show that the arousal and activity bracelets were best fitted and that individual experience is important.