Debiasing affective forecasting errors with targeted, but not representative, experience narratives.

Area of Science:

• Psychology
• Behavioral Economics
• Health Communication

Background:

• Affective forecasting errors, or inaccuracies in predicting future emotional experiences, are common.
• Patient experience narratives are increasingly used, but their impact on forecasting accuracy is unclear.

Purpose of the Study:

• To compare the effectiveness of representative and targeted experience narratives in reducing affective forecasting errors.
• To determine if specific types of narratives can improve the accuracy of predicted discomfort.

Main Methods:

• Two studies were conducted involving participants' experiences with medical events.
• Study 1 used representative narratives, while Study 2 employed targeted narratives, both compared to a control group.
• Participants rated predicted or actual discomfort related to medical events.

Main Results:

• Affective forecasting errors were present in both studies.
• Targeted experience narratives significantly reduced forecasting errors.
• Representative experience narratives did not reduce forecasting errors.

Conclusions:

• Targeted narratives enhance the accuracy of predicted discomfort, unlike representative narratives.
• Public collections of patient experiences should prioritize targeted narratives to mitigate forecasting biases.