Reducing Cognitive Load - Greater access to data, information and services will challenge the cognitive loading on personnel. How can new technology help reduce this burden through, for example, autonomous software agents? Which functions could be carried out by machine and, conversely, what decisions will still need to be taken by human operators to ensure compliance with legal and ethical standards? How do we integrate these advances into our command and control systems?

Background

In an increasingly connected and complex world, we need to optimise our use of rich and diverse data sets to inform decision makers in a timely manner. As the types and volumes of information available to the commander increase, this will place a greater importance on tools and techniques to collate, synthesise and visualise information in a timely and understandable way so that it can be readily acted upon. Different sources will have different degrees of assurance but combining multiple information sources greatly increases the robustness of the analysis – although we need to be able to show levels of certainty/uncertainty within the analysis.

Next steps

Get in touch with accelerator@dstl.gov.uk

Source

This question was published as part of the set of ARIs in this document:

20171124 MOD ARI O

Related UKRI funded projects


  • Human-Autonomous Systems Collective Capability (HASCC)

    Human-Autonomous Systems (HAS) are collections of human and autonomous agencies of great importance to, defence, disaster and emergency response, transport, and energy services (especially in hostile/inhospitable environ...

    Funded by: EPSRC

    Lead research organisation: University of Bath

    Why might this be relevant?

    The project focuses on improving human-autonomous systems collective capability, addressing information overload, and enhancing decision-making, which directly aligns with the question's focus on reducing cognitive load and integrating technology into command and control systems.

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