Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE
Abstract
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.
DOI
https://doi.org/10.1088/1742-6596/1065/18/182002
Recommended Citation
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
Funder
Science Foundation Ireland
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Publication Details
Journal of Physics: Conference Series, Volume 1065, Measurement of Human Functions