Integrating Agent Transparency Adaptation Mechanisms into Human Machine Cooperation

This paper proposes to model the dynamic management of dialogue in human-machine cooperation. It seeks to articulate a generic model of human-machine cooperation, based on two complementary abilities of agents (the Know-How-to-Operate and the Know-How-to-Cooperate), with 2 prominent models of agent transparency (SAT and HRT model). Modeling is applied to a specific Human-Machine Cooperation, a cyber-physical system assisting a human for planning decisions of maintenance operations. Dialogue management mechanisms filter the information displayed on the interface, from the agent's analysis of the supervised process to the team's performance and cooperation activities. This dynamic dialogue management contributes to the calibration of trust and optimisation of cooperation.