Quantum probability, first developed in theoretical physics, has recently been successfully used in cognitive psychology to model data from experiments that previously resisted effective modelling by classical methods. This has led to the development of choice models based on quantum probability, which have greater flexibility than standard models due to the implementation of complex numbers through, for example, complex phases or ‘quantum rotations’. This paper tests whether these new models can also capture choice modification under implicit ‘changing perspectives’ in choice contexts with salient moral attributes. We apply these models to two distinctly different case-studies. In the first, respondents have to make choices between route alternatives with variable ‘concrete’ and ‘moral’ attributes — Chorus et al. (2018)’s ‘taboo trade-off’ between time-cost and deaths-injuries. The second study investigates how an individual weighs wages and commuting times for themselves relative to the wages and commuting times for their partner. Under both scenarios, we find that the flexibility provided by quantum choice models allows them to accurately capture and formally explain choices across the differing contexts.

量子概率最早是在理论物理学中发展起来的，最近已成功地用于认知心理学中，以对以前拒绝采用经典方法进行有效建模的实验数据进行建模。这导致了基于量子概率的选择模型的发展，由于通过例如复杂的相位或“量子旋转”来实现复杂的数字，因此比标准模型具有更大的灵活性。本文测试了这些新模型是否还可以捕获隐式条件下的选择修改在具有显着道德属性的选择环境中“改变观点”。我们将这些模型应用于两个截然不同的案例研究。首先，受访者必须在具有可变“具体”和“道德”属性的替代路线之间做出选择-Chorus等。（2018）在时间成本与死亡伤害之间的“禁忌权衡”。第二项研究调查个人相对于伴侣的工资和通勤时间如何衡量自己的工资和通勤时间。在这两种情况下，我们发现量子选择模型提供的灵活性使他们能够准确地捕获并正式解释不同背景下的选择。