Using emotional flow in patient testimonials to debias affective forecasting in health decision-making

Abstract

ABSTRACT People often overestimate the duration and intensity of emotional impact for future health events, leading to sub-optimal decision-making. Previous attempts to mitigate these affective forecasting errors have had only limited success. Across two experiments with different emotional appeals (fear and disgust), health contexts (genetic testing and colonoscopy), and samples (women and African American men), this research explored the potential of emotional flow in testimonials to attenuate affective forecasting errors and increase positive health outcomes. Both studies demonstrated that a narrative intervention that mirrored shifts in emotional intensity throughout health-screening procedure testimonials increased affective forecasting accuracy and behavioral intent. These findings highlight the importance of incorporating emotional shifts in narratives to facilitate individuals’ ability to better predict future emotional reactions.