Max Planck Institute for Human Development, Center for Adaptive Rationality, Lentzeallee 94, 14195 Berlin, Germany.
Cognition. 2022 Aug;225:105095. doi: 10.1016/j.cognition.2022.105095. Epub 2022 Apr 22.
When attention is biased to a particular option during information search preceding preferential choice, this option is often more likely to be chosen-even if its value is objectively lower than that of the alternative. This article demonstrates that although attentional biases-even to lower-valued options-may reduce accuracy (the tendency to choose the highest-valued option), they can increase reward rate (the amount of reward obtained per unit of time invested in the choice). To achieve a higher reward rate it is often preferable to choose a lower-valued option quickly rather than spend time trying to identify the highest-valued option. Attentional biases are typically associated with faster choices, and in terms of reward rate, this reduction in response time can often compensate for the accompanying decrease in accuracy. This relationship between attention, response time, and reward rate is modulated by features of the choice environment and by individual differences in choice boundaries and in the attentional amplification of evidence accumulation. These patterns are predicted theoretically by the attentional drift diffusion model (aDDM). A reanalysis of empirical data from several eye-tracking studies shows that these predicted patterns also hold empirically across various domains of preferential choice (riskless and risky choice, options of monetary rewards and of food items). It may therefore often be beneficial for decision makers to allocate their attention in a biased manner-that is, to deliberately ignore information on some options-in order to reduce the time cost of choice and thereby achieve a higher reward rate.
当在优先选择之前的信息搜索中,注意力偏向于特定选项时,即使该选项的价值客观上低于另一个选项,该选项也更有可能被选择。本文表明,尽管注意力偏见——即使是对价值较低的选项——可能会降低准确性(选择最高价值选项的倾向),但它们可以提高奖励率(每单位时间投入选择所获得的奖励量)。为了获得更高的奖励率,通常最好快速选择价值较低的选项,而不是花费时间试图确定最高价值的选项。注意力偏见通常与更快的选择相关,就奖励率而言,这种响应时间的减少通常可以弥补准确性的相应下降。注意力、响应时间和奖励率之间的这种关系受选择环境的特征以及选择边界和证据积累的注意力放大的个体差异的调节。这些模式是由注意力漂移扩散模型(aDDM)理论预测的。对来自几个眼动追踪研究的实证数据的重新分析表明,这些预测模式在各种偏好选择领域(无风险和风险选择、货币奖励和食物选择)中也具有实证意义。因此,决策者有意地将注意力集中在有偏见的方式上,即故意忽略某些选项的信息,以减少选择的时间成本,从而实现更高的奖励率,这可能通常是有益的。