The article introduces a new way to understand how people make decisions when faced with uncertainty. By using a quantum probabilistic framework, the researchers were able to model human preferences in ambiguous situations. Their approach successfully captured data from well-known decision-making experiments, like the Ellsberg and Machina paradoxes. This new model suggests that our subjective probabilities can change based on the situation at hand, and our choices are influenced by maximizing our expected utility in that specific context.