Solid methodology with immediate industrialization potential

     Virtual assistant (VA) human-centered design (from design throughout its life cycle)

     Function allocation among humans and machines

     Discovering emerging phenomena using human-in-the-loop simulation

     VA iterative adjustments through formative evaluations (basic measures, criteria, metrics)

A real-time contextualization solution based on:

     Tactical situation assessemnt

      Fighter pilot's cognitive load

Noticeable facts

     Incremental adjustment of the virtual assistant's behavior (agile development)

     Extendable to multi-agent collaborative air combat

     Useful for training purposes

The MOHICAN Project

MOnitoring de la performance Humains-machInes

par l’analyse de la Confiance

et de la coopérAtioN

Collaboration ESTIA-Synapse Defense

First phase finished December 2020

Operational peformance metrics

Trust and Collaboration metrics

Procedural knowledge concerns the experience of operations which is often expressed in the form of narratives by experts in the field. Declarative knowledge concerns the objects and agents involved in the human-machine system to be designed. The PRODEC method revolves around the acquisition of procedural knowledge from subject matter experts, and elicitation of various properties and attributes of human and machine systems. This elicitation process is iterative and based on creativity, development and validation of prototypes. The PRODEC process can take several iterations to converge. It is strongly recommended to run simulations with humans in the loop to perform this validation, and thus progressively create and maintain appropriate performance models and simulation capabilities.