The researchers introduced a new way of updating beliefs called the Hypothesis Testing model, which addresses limitations of Bayes' rule. This model suggests that when faced with unexpected information, people don't always follow Bayes' rule. Instead, they consider a range of possibilities and choose the one that seems most likely. This approach was applied to game theory to refine equilibrium predictions.