Schaefer Alexandre, Buratto Luciano G, Goto Nobuhiko, Brotherhood Emilie V
Durham University, Department of Psychology, Durham, United Kingdom.
Monash University, Malaysia Campus, Department of Psychology, Bandar Sunway, Malaysia.
PLoS One. 2016 Sep 22;11(9):e0163150. doi: 10.1371/journal.pone.0163150. eCollection 2016.
A large body of evidence shows that buying behaviour is strongly determined by consumers' price expectations and the extent to which real prices violate these expectations. Despite the importance of this phenomenon, little is known regarding its neural mechanisms. Here we show that two patterns of electrical brain activity known to index prediction errors-the Feedback-Related Negativity (FRN) and the feedback-related P300 -were sensitive to price offers that were cheaper than participants' expectations. In addition, we also found that FRN amplitude time-locked to price offers predicted whether a product would be subsequently purchased or not, and further analyses suggest that this result was driven by the sensitivity of the FRN to positive price expectation violations. This finding strongly suggests that ensembles of neurons coding positive prediction errors play a critical role in real-life consumer behaviour. Further, these findings indicate that theoretical models based on the notion of prediction error, such as the Reinforcement Learning Theory, can provide a neurobiologically grounded account of consumer behavior.
大量证据表明,购买行为在很大程度上由消费者的价格预期以及实际价格违背这些预期的程度所决定。尽管这一现象很重要,但对于其神经机制却知之甚少。在此我们表明,已知用于索引预测误差的两种脑电活动模式——反馈相关负波(FRN)和反馈相关P300——对低于参与者预期的价格报价敏感。此外,我们还发现,与价格报价时间锁定的FRN振幅能够预测产品随后是否会被购买,进一步分析表明,这一结果是由FRN对正性价格预期违背的敏感性驱动的。这一发现有力地表明,编码正性预测误差的神经元集群在现实生活中的消费者行为中起着关键作用。此外,这些发现表明,基于预测误差概念的理论模型,如强化学习理论,能够为消费者行为提供一个具有神经生物学基础的解释。