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.