Incorporating additional cognitive biases or human reasoning patterns into the counterfactual explanation generation process can further enhance their interpretability and usefulness. One such bias that could be integrated is the availability heuristic, which suggests that people tend to rely on readily available information when making decisions. By considering this bias, the counterfactual explanations could prioritize features or factors that are more salient or easily accessible to the individual, making the explanations more relatable and understandable.
Another cognitive bias that could be beneficial is the anchoring bias, where individuals rely heavily on the first piece of information they receive when making judgments. By incorporating this bias, the counterfactual explanations could emphasize the initial data points or features that influenced the model's prediction, providing a clear anchor for the explanation process. Additionally, the confirmation bias, which leads individuals to seek out information that confirms their existing beliefs, could be integrated to ensure that the counterfactual explanations address and challenge preconceived notions or biases.