We argue that the active ingredients of behaviour change interventions, often called behaviour change methods (BCMs) or techniques (BCTs), can usefully be placed on a dimension of psychological aggregation. We introduce evolutionary learning processes (ELPs) as fundamental building blocks that are on a lower level of psychological aggregation than BCMs/BCTs. A better understanding of ELPs is useful to select the appropriate BCMs/BCTs to target determinants of behaviour, or vice versa, to identify potential determinants targeted by a given BCM/BCT, and to optimally translate them into practical applications. Using these insights during intervention development may increase the likelihood of developing effective interventions – both in terms of behaviour change as well as maintenance of behaviour change.

我们认为，行为改变干预的有效成分（通常称为行为改变方法（BCM）或技术（BCT））可以有效地置于心理聚集的维度上。我们将进化学习过程（ELP）作为基本构建模块，与BCM / BCT相比，它们的心理聚合水平较低。对ELP的更好理解有助于选择适当的BCM / BCT，以针对行为的决定因素，反之亦然，以识别给定BCM / BCT作为目标的潜在决定因素，并将其最佳地转化为实际应用。在干预措施开发过程中使用这些见解可能会增加开发有效干预措施的可能性–既包括行为改变，也包括维持行为改变。