Inspired by the increased cooperation between humans and autonomous systems, we present a new hybrid systems framework capturing the interconnected dynamics underlying these interactions. The framework accommodates models arising from both the autonomous systems and cognitive psychology literature in order to represent key elements such as human trust in the autonomous system. The intermittent nature of human interactions are incorporated by asynchronous event-triggered sampling at the framework's human-autonomous system interfaces. We illustrate important considerations for tuning framework parameters by investigating a practical application to an autonomous robotic swarm search and rescue scenario. In this way, we demonstrate how the proposed framework may assist in designing more efficient and effective interactions between humans and autonomous systems.

翻译：受到人类与自主系统间日益增强的合作启发，我们提出了一种新的混合系统框架，用以捕捉这些交互背后的互联动态。该框架兼容自主系统文献与认知心理学文献中的模型，以表征人类对自主系统的信任等关键要素。通过在框架的人机交互接口处采用异步事件触发采样机制，我们融入了人类交互的间歇性特征。我们通过研究自主机器人集群搜救场景的实际应用，阐明了框架参数调优的重要考量。由此，我们论证了所提框架如何协助设计更高效、更有效的人机交互系统。