Crivelli, D., Acconito, C., & Balconi, M. (2024).
Brain sciences, 14(7), 734.
Abstract
Studies on decision-making have classically focused exclusively on its cognitive component. Recent research has shown that a further essential component of decisional processes is the emotional one. Indeed, the emotional route in decision-making plays a crucial role, especially in situations characterized by ambiguity, uncertainty, and risk. Despite that, individual differences concerning such components and their associations with individual traits, decisional styles, and psychophysiological profiles are still understudied. This pilot study aimed at investigating the relationship between individual propensity toward using an emotional or cognitive information-processing route in decision-making, EEG and autonomic correlates of the decisional performance as collected via wearable non-invasive devices, and individual personality and decisional traits. Participants completed a novel task based on realistic decisional scenarios while their physiological activity (EEG and autonomic indices) was monitored. Self-report questionnaires were used to collect data on personality traits, individual differences, and decisional styles. Data analyses highlighted two main findings. Firstly, different personality traits and decisional styles showed significant and specific correlations, with an individual propensity toward either emotional or cognitive information processing for decision-making. Secondly, task-related EEG and autonomic measures presented a specific and distinct correlation pattern with different decisional styles, maximization traits, and personality traits, suggesting different latent profiles.
Here are some thoughts:
This research provides valuable insights for psychologists by offering a more comprehensive understanding of decision-making, moving beyond a purely cognitive perspective to incorporate the crucial role of emotions and individual differences. It also highlights the importance of individual differences, emphasizing how personality traits and decisional styles influence how people process information and make choices. Furthermore, the research integrates psychological and physiological perspectives by combining self-report data with EEG and autonomic measures, providing a more holistic view of the decision-making process. Ultimately, the findings can inform interventions and applications in various fields, such as clinical psychology, organizational psychology, and consumer behavior, to better understand and support decision-making in different contexts.
