| Document
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Author Kate Ewing & Clare Borras |
| Abstract A new dawn of intelligent machines has re-energised the concept of human-machine teaming (HMT) whereby humans, and autonomous systems, collaborate towards a shared operational goal. Across Defence, Human Factors specialists will be challenged to integrate human-autonomy teams into already complex systems for which knowing the functional state of human teammates will be critical to system optimisation. Presently, innovation in machine learning and data collection methods is making human cognition more available to operational settings than ever before. This paper overviews the state of the art in techniques for estimating human functional state from the perspective of designing complex military systems involving artificially intelligent (AI) agents. Considerations are provided for designers seeking to quantify variables such as mental workload, situation awareness (SA) or the level of demand upon particular communication modes, whether for system operation or design and evaluation. Finally, some examples of methods used in HMT research are presented along with a speculative look at future influences upon the specification of human functional state for use with autonomy in Defence. |
