Enhanced dialog for Human-Autonomy Teaming - A breakthrough approach
Sylvain Hourlier, Jaime Diaz-Pineda, Marc Gatti, Aurelien Thiriet, Daniel Hauret · 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC) · 2022
Considering the ever-growing, deeper interaction between humans and intelligent systems, it is clear that efforts need to be made to ensure a less demanding cognitive workload for the operator. The key to this is bringing the focus onto the Human relationship with machines, ensuring that this interaction is as effective as possible. Any difficulty in understanding at this point can have significant repercussions. Thus, our approach named COMBI, is an interpreter able to enhance communication between humans and Embedded Decision Aid Systems, which can be incredibly complex, to make it mutually intelligible for both parties. This means: (i)Ensuring machines receive in a suitable "language" the operational intention of the Human user; (ii)Clarifying the proposals from the system in a way that can be easily used by humans. In creating a shared and mutually understandable cognitive representation, COMBI contributes to bridging that ontological gap between the high-level abstraction employed by humans and low-level abstraction employed by machines.