TY - JOUR
T1 - Human Performance Modelling for Adaptive Automation Journal of Physics
T2 - 22nd World Congress of the International Measurement Confederation, IMEKO 2018
AU - Leva, M. C.
AU - Wilkins, M.
AU - Coster, F.
N1 - Publisher Copyright:
© 2018 Institute of Physics Publishing. All rights reserved.
PY - 2018/11/13
Y1 - 2018/11/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85057473971&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1065/18/182002
DO - 10.1088/1742-6596/1065/18/182002
M3 - Conference article
AN - SCOPUS:85057473971
SN - 1742-6588
VL - 1065
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 18
M1 - 182002
Y2 - 3 September 2018 through 6 September 2018
ER -