Department of Psychobiology, Universitat de València, Av. Blasco Ibáñez, 13, 46010, Valencia, Spain.
Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, Valencia, Spain.
Sci Rep. 2024 Jun 7;14(1):13144. doi: 10.1038/s41598-024-63752-y.
Traditional methods for evaluating decision-making provide valuable insights yet may fall short in capturing the complexity of this cognitive capacity, often providing insufficient for the multifaceted nature of decisions. The Kalliste Decision Task (KDT) is introduced as a comprehensive, ecologically valid tool aimed at bridging this gap, offering a holistic perspective on decision-making. In our study, 81 participants completed KDT alongside established tasks and questionnaires, including the Mixed Gamble Task (MGT), Iowa Gambling Task (IGT), and Stimulating & Instrumental Risk Questionnaire (S&IRQ). They also completed the User Satisfaction Evaluation Questionnaire (USEQ). The results showed excellent usability, with high USEQ scores, highlighting the user-friendliness of KDT. Importantly, KDT outcomes showed significant correlations with classical decision-making variables, shedding light on participants' risk attitudes (S&IRQ), rule-based decision-making (MGT), and performance in ambiguous contexts (IGT). Moreover, hierarchical clustering analysis of KDT scores categorized participants into three distinct profiles, revealing significant differences between them on classical measures. The findings highlight KDT as a valuable tool for assessing decision-making, addressing limitations of traditional methods, and offering a comprehensive, ecologically valid approach that aligns with the complexity and heterogeneity of real-world decision-making, advancing research and providing insights for understanding and assessing decision-making across multiple domains.
传统的决策评估方法提供了有价值的见解,但可能无法捕捉到这种认知能力的复杂性,往往无法充分反映决策的多面性质。引入 Kalliste 决策任务 (KDT) 作为一种全面、生态有效的工具,旨在弥补这一差距,提供决策的整体视角。在我们的研究中,81 名参与者在完成了包括混合赌博任务 (MGT)、爱荷华赌博任务 (IGT) 和刺激与工具风险问卷 (S&IRQ) 在内的既定任务和问卷后,还完成了用户满意度评估问卷 (USEQ)。结果显示其具有出色的可用性,USEQ 得分很高,突出了 KDT 的易用性。重要的是,KDT 结果与经典决策变量显著相关,揭示了参与者的风险态度 (S&IRQ)、基于规则的决策 (MGT) 和在模糊情境下的表现 (IGT)。此外,KDT 分数的层次聚类分析将参与者分为三个不同的特征群组,表明它们在经典测度上存在显著差异。这些发现突显了 KDT 作为评估决策的有价值工具的作用,解决了传统方法的局限性,并提供了一种全面、生态有效的方法,与现实世界决策的复杂性和异质性相吻合,推进了研究并为理解和评估多个领域的决策提供了见解。