Self-scaling Human-Agent Cooperation Concept for Joint Fighter-UCAV Operations

摘要

In this article, we describe human automation integration concepts that allow the guidance and the mission management of multiple UCAVs (Unmanned Combat Aerial Vehicles) from aboard a manned single-seat fighter aircraft. The conceptual basis of our approach is dual-mode cognitive automation. This concept uses two distinct modes of human-agent cooperation, a hierarchical relationship with agents working in delegation mode, and a heterarchical relationship with an agent working in assistance mode. For the hierarchical relationship we suggest three delegation modes (team-, intent-, and task-based). The agent in heterarchical relationship, i.e. the assistant system, adapts the operator-assistant system cooperation and the guidance of UCAVs according to the named delegation modes. The adaptation is shaped by the assessment of the operator's mental state and external situation features. Thereby, we aim at balancing the operator's activity and work demands. Future research at our institute will concentrate on developing a software prototype for human-in-the-loop experiments.