The field of Human-Robot Interaction (HRI) is moving towards developing more adaptive, transparent, and trustworthy robotic systems. Researchers are focusing on creating frameworks and models that enable robots to better understand and respond to human needs and behaviors. This includes designing robots that can effectively communicate with humans, navigate complex social contexts, and ensure safety and transparency in human-robot collaboration. Noteworthy papers in this area include: Towards Adaptive External Communication in Autonomous Vehicles, which introduces a conceptual design framework for adaptive external human-machine interfaces. Toward an Interaction-Centered Approach to Robot Trustworthiness, which outlines an interaction-based framework for building trust through mutual understanding between humans and robots. Safe and Transparent Robots for Human-in-the-Loop Meat Processing, which introduces a safety and transparency framework for general-purpose meat processing robots.