Recognition of static and dynamic facial expressions: Influences of sex, type and intensity of emotion

Ecological validity of static and intense facial expressions in emotional recognition has been questioned. Recent studies have recommended the use of facial stimuli more compatible to the natural conditions of social interaction, which involves motion and variations in emotional intensity. In this study, we compared the recognition of static and dynamic facial expressions of happiness, fear, anger and sadness, presented in four emotional intensities (25 %, 50 %, 75 % and 100 %). Twenty volunteers (9 women and 11 men), aged between 19 and 31 years, took part in the study. The experiment consisted of two sessions in which participants had to identify the emotion of static (photographs) and dynamic (videos) displays of facial expressions on the computer screen. The mean accuracy was submitted to an Anova for repeated measures of model: 2 sexes x [2 conditions x 4 expressions x 4 intensities]. We observed an advantage for the recognition of dynamic expressions of happiness and fear compared to the static stimuli (p < .05). Analysis of interactions showed that expressions with intensity of 25 % were better recognized in the dynamic condition (p < .05). The addition of motion contributes to improve recognition especially in male participants (p < .05). We concluded that the effect of the motion varies as a function of the type of emotion, intensity of the expression and sex of the participant. These results support the hypothesis that dynamic stimuli have more ecological validity and are more appropriate to the research with emotions.

Bilateral Transport Cost, Infrastructure, Common Bilateral Ties and Political Stability.

Los costos de transporte son una de las más importantes fuentes de barreras al comercio. Inspirados por este aspecto, utilizamos un modelo empírico ad-hoc con el fin de examinar los posibles determinantes de los costos de transporte. Utilizando una base de datos de costos de transporte bilaterales para el año 1990, replicamos el trabajo de Limao y Venables (2001) y encontramos que el efecto de su ´índice de infraestructura sobre los costos de transporte no es robusto. Siguiendo a Micco (2004) y Micco y Serebrinzky (2005) calculamos dos ´índices alternativos de infraestructura. Utilizando estos ´índices encontramos que aparte de la distancia, la infraestructura, la estabilidad política, las relaciones bilaterales comunes y los acuerdos de cielos abiertos son otros importantes canales mediante los cuales los costos de transporte pueden reducirse.