[The relationship between the categorical perception of facial expressions and semantic distances].

It has been argued whether the facial expression is recognized categorically or dimensionally. We investigated this issue using three sets of morphed photographic facial images (happiness to anger, surprise, and sadness). Our interest is whether the experimental data of categorical perception can be explained by the dimensional point of view. Experiment 1 examined the facial stimuli generated by FACS. In Experiment 2, subjects were asked to discriminate some pairs of faces and to categorize the emotion shown one at a time. The discrimination accuracy between categories was better than that within each category. In Experiment 3, subjects were asked to rate those stimuli following the semantic differential technique. Then we examined the relationship between the discrimination accuracy obtained in Experiment 2 and the semantic distances obtained in Experiment 3, defined by Euclidean distances between pairs of stimuli in the factor space that was constituted two factors interpreted as "pleasantness" and "activities". Discrimination accuracy within each category increased as a function of the semantic distances, whereas discrimination accuracy between categories remained high irrespective of the different semantic distances.

[Explanation and estimation of subjective probability by generalized model of Support Theory].

The purpose of this paper is to develop a new model for describing the cognitive process of decision making. Being of a generalization of Tversky and Koehler's Support Theory, the proposed model firstly defines the choice probability among several alternatives in terms of degree of "support." Secondly the model defines the degree of support in terms of objective probability and representativeness. Thirdly, this model specifies the integration process by which one reaches the probability of an event utilizing the already assessed subevents. This model was applied to and tasted by, real experimental data. In the experiment, subjects were asked to evaluate the proportions (a kind of probability) and the degrees of representativeness of two objects. Compared to the estimates derived by a Bayesian approach, the subjective probabilities estimated by the proposed model were shown to be closer to those reported by the subjects.