Citation

Feigh KM, Miller MJ, Bhattacharyya RP, Ma ML, Krening S, Razin Y. Theor. Issues Ergonomics Sci. 2018; 19(4): 389-405.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/1463922X.2017.1328713

PMID

unavailable

Abstract

Human factors practitioners (HFPs) play many different roles in the design, creation, operation and maintenance of engineered systems. Less well known are the methods which are aimed at helping with the early stages of design, which are more systems-oriented and often involve questions of the concept of operation in which the engineered system will be fielded. Emerging from the field of cognitive engineering, these methods, including simulation, cognitive work analysis, cognitive task analyses and hierarchical task analysis, will be important as autonomous systems become increasingly capable. Even the most capable systems will continue to interact with humans, and it is at these interfaces between humans and engineered systems that HFP will continue to be needed. This paper describes recent work to leverage these methods to inform concepts of operation in aviation and space, machine learning algorithms and goal-oriented human-machine collaboration.

Language: en

Keywords

cognitive engineering; cognitive work analysis; formal verification; Human factors; machine learning