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|Title:||The Statistics of Natural Tasks: How People Make Everyday Decisions in a Complex World|
|Abstract:||When making decisions in complex environments, how can people separate what is important from what can be ignored? This study used the common task of choosing an item from a list to uncover whether there are specific strategies for solving this problem across both people and domains. Two types of everyday decisions, choosing food from a menu and choosing undergraduate courses from a list, were tested using online, as well as in-lab, experiments. The results revealed that participants tended to first narrow down their options based on broad information and then come to a final decision after looking at the short list of options in more detail. The results from this experiment also suggested that participants made these decisions based on only a few criteria at a time, where some criteria were significantly more important across participants. Therefore, despite the complexity and uniqueness of a given scenario, there may be common strategies used across people and domains in everyday decision-making. These processes may allow for less cognitive demand when making decisions, which could lead to a more efficient process overall. Further experiments could reveal whether or not these behavioral results correlate with similar neural networks, across both people and domains, as well.|
|Type of Material:||Princeton University Senior Theses|
|Appears in Collections:||Psychology, 1930-2017|
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