Abstract
In this paper, we develop a Bayesian network model that infers the reproducibility of preferences for pairs of fashion model stimuli from eye movements. Three types of fashion model pairs (i. e. , high score vs. high score, low score vs. low score, and high score vs. low score) are provided according to the evaluation score of each individual model. Using the Bayesian network model, we examine the relation between reproducibility and eye movements for each type of pair of fashion model stimuli. In the case of large decision latency, the probabilities of reproducibility differ considerably in two gazing patterns, i. e. , gazing frequently at the stimulus that is chosen or at the stimulus that is not chosen. In order to determine the cause of this difference, the occurrence probabilities of uncertain feelings in preference decisions are inferred from eye movements. It turns out that the two gazing patterns correspond to distinct attitudes toward preference decisions.
