主要探讨推理中信息相关因素对分析系统与启发式系统的影响。通过两个实验考察信息的充分性和情绪性对突发事件情境下推理的影响。实验1任务无时间压力,结果发现:信息充分性对推理的影响显著,表现为信息越充分,被试推理的逻辑指数越高,更多使用了分析系统;且信息充分时,接受积极信息的被试的信念指数显著增高。实验2任务有时间压力,结果发现:信息的情绪性对推理的影响显著,表现为接受积极信息的被试推理的逻辑指数显著大于接受消极信息组,更多使用了分析系统。两个实验结果表明,信息的充分性主要通过分析系统对推理产生影响,而信息的情绪性可通过双系统影响推理过程,即积极信息在推理时间充裕时促进启发式系统,但在有时间压力下促进分析系统。
Dual-process theories of reasoning posit two distinct but interactive processes that compete for control of the response that participants make in reasoning tasks. Heuristic system is an automatic belief-based system that is characterized as rapid, implicit, associative, and heavily contextualized. While analytic system is a demanding logic-based system that is described as slow and sequential but capable of abstraction and generalization. The present study investigated the potential influence of characteristics of information on both heuristic and analytic system, and the moderation effect of time pressure. With a 2 (passive information vs. active information) × 2 (adequate information vs. inadequate information) between-subject design, we examined how the emotional and adequate information influenced the heuristic system and analytic system respectively. The current sample consisted of 121 students, 61 for experiment 1 and 60 for experiment 2, and participants were required to perform a syllogistic reasoning task that was about the description of unconventional emergency. In experiment 1, participants made reasoning response without any time limit, while in experiment 2, they had to response under time pressure. Our hypothesis was that adequate information had significant effect on analytic system, while emotional information had significant effect on heuristic system, and both effects were modulated by time pressure. According to dual-process theories, two indices, logic index and belief index, were calculated respectively to reflect how heuristic system and analytic system work. The logic index measures the difference between acceptance of valid and invalid conclusions: the bigger the index, the more logical the responding. And the belief index similarly measures the difference in acceptance of believable and unbelievable conclusion: the bigger the index, the more belief bias is observed. In experiment 1, for logic index, MNOVA showed a significant main effect of adequacy of information, F(1, 5