In risky decision-making, expected utility (EU) theory is widely used to examine people's risk attitude and choice behavior. However, it is unknown how risk attitude relates to attention and information search. In this paper, we explore the relationship between risk attitude (as measured by a variant of EU) and eye movement patterns (which serve as a proxy for attention and information search). Participants made choices between gambles presented perceptually as flickering grids in which monetary values were indicated by colors and probabilities by color proportions. To explore attention and information search patterns, we investigated eye movement patterns when faced with different gambles and correlated these patterns with the parameters of EU. We observed that people who are more risk-seeking (as determined by modeling) tend to look at risky options more often. These results bridge choice behaviors conceptualized by EU and information search strategies under risky decision-making revealed by eye movements.

Previous studies have shown that category learning affects subsequent recognition memory. However, questions remain as to how category learning affects discriminability during recognition. In this three-stage study, we employed sets of simulated flowers with category- and non-category-inclusion features appearing with equal probabilities. In the learning stage, participants were asked to categorize flowers by identifying the category-inclusion feature. Next, in the studying stage, participants memorized a new set of flowers, a third of which belonged to the learned category. Finally, in the testing stage, participants received a recognition test with old and new flowers, some from the learned category, some from a not-learned category, some from both categories, and some from neither category. We applied hierarchical Bayesian signal detection theory models to recognition performance and found that prior category learning affected both discriminability as well as criterion bias. That is, people that learned the category well, exhibited improved discriminability and a shifted bias toward flowers from the learned relative to the not learned category.