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Dynamic reasoning and time pressure: Transition from analytical operations to experiential responses

机译:动态推理和时间压力:从分析操作到经验响应的转变

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摘要

Based upon the Decision Field Theory (Busemeyer and Townsend 1993), we tested a model of dynamic reasoning to predict the effect of time pressure on analytical and experiential processing during decision-making. Forty-six participants were required to make investment decisions under four levels of time pressure. In each decision, participants were presented with experiential cues which were either congruent or incongruent with the analytical information. The congruent/incongruent conditions allowed us to examine how many decisions were based upon the experiential versus the analytical information, and to see if this was affected by the varying degrees of time pressure. As expected, the overall accuracy was reduced with greater time pressure and accuracy was higher when the experiential and analytical cues were congruent than when they were incongruent. Of great interest was the data showing that under high time pressure participants used more experiential cues than at other time pressures. We suggest that the dynamic reasoning paradigm has some future potential for predicting the effects of experiential biases in general, and specifically under time pressure.
机译:基于决策场理论(Busemeyer和Townsend,1993),我们测试了一种动态推理模型,以预测时间压力对决策过程中分析和经验处理的影响。要求四十六名参与者在四个时间压力级别下做出投资决策。在每个决策中,向参与者展示与分析信息完全一致或不一致的经验提示。一致/不一致的条件使我们能够根据经验信息和分析信息检查多少个决策,并查看这是否受时间压力程度变化的影响。不出所料,当经验和分析线索完全一致时,总的精度会随着时间压力的增加而降低,并且准确性更高。令人感兴趣的是,数据显示,在高时间压力下,参与者比其他时间压力下使用的经验提示更多。我们建议,动态推理范式在总体上,特别是在时间压力下,有一定的未来潜力,可以预测经验性偏差的影响。

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