The researchers appear to be saying that a lot of people perceive LLM outputs to be superior to whatever they could generate themselves, so users accept the LLM's logical premises uncritically and move on. Sort of a "drive by" use of chatbots. The researchers are not wrong, but intuitively I don't think this is a fair critique of most LLM tasks, or even most users.
One of the most compelling LLM use cases is individualized learning or tutoring, and LLM's can support a much deeper dive into arcane scientific or cutting-edge topics than traditional methods. I don't see anything here that suggests the researchers balanced these scenarios against one another.