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1.2 COMPUTER AND INFORMATION SCIENCE
The relentless march of technology is increasingly opening new possibilities for the application of automation and new horizons for human machine interaction. However there is insufficient scientific evidence on human factors for modern socio-technical systems supporting the guidelines currently used to design Human Machine Interfaces (HMI) (ISA 2014). This dearth of knowledge presents a particular risk in safety critical industries. The continuing 60–90% of accidents currently that are rooted in Human Factors (HF) and the rapid developments in the Internet of Things (IoT) and its novel automation archetypes means that the requirements for new interfaces are becoming more demanding, and creating new failure modes. To address this gap it is necessary to face the issue of modelling the human factor element and be ready to incorporate that knowledge into the design of adaptive automation.
Leva, MC., Wilkins, M. & Coster, F. (2018). Human performance: modelling for adaptive automation. XXII World Congress of the International Measurement Confederation (IMEKO 2018). IOP Conf. Series: Journal of Physics: Conf. Series 1065 (2018) 182002, doi:10.1088/1742-6596/1065/18/182002
Science Foundation Ireland