Department of Marketing, McDonough School of Business, Georgetown University, Washington, District of Columbia, United States of America.
PLoS One. 2019 Mar 7;14(3):e0212609. doi: 10.1371/journal.pone.0212609. eCollection 2019.
Understanding the underlying psychological process that leads to a bias is crucial for developing remedies to correct or reduce the bias. As one of the psychological processes that underlie judgmental biases, attribute substitution provides an explanation as to why people rely on heuristics and commit judgmental biases. Attribute substitution occurs when people make a judgment that requires the use of a target attribute, but make the judgment using a heuristic attribute that comes more readily to mind. This substitution inevitably introduces systematic errors because these two attributes are different. The current work explores an indirect debiasing method-the priming of a target attribute. Across three experiments, we demonstrate that priming a target attribute in prior tasks reduces judgmental biases in likelihood estimations: ratio-bias and base-rate neglect. However, this outcome only occurs when participants have enough cognitive resources. When they experience cognitive load, the priming of the target attribute does not reduce their judgmental biases.
理解导致偏见的潜在心理过程对于开发纠正或减少偏见的方法至关重要。属性替换作为导致判断偏差的心理过程之一,为人们为什么依赖启发式并产生判断偏差提供了一种解释。当人们做出需要使用目标属性的判断,但却使用更容易想到的启发式属性做出判断时,就会发生属性替换。这种替换不可避免地会引入系统误差,因为这两个属性是不同的。当前的工作探讨了一种间接的去偏方法——目标属性的启动。通过三个实验,我们证明了在先前的任务中启动目标属性可以减少概率估计中的判断偏差:比率偏差和基础比率忽视。然而,只有当参与者有足够的认知资源时,这种结果才会出现。当他们经历认知负荷时,目标属性的启动并不能减少他们的判断偏差。