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.

Efecto de una intervención sobre la carga física durante el proceso de coquización en una empresa de Colombia

Se realizó estudio cuasi experimental con el fin de comparar el efecto sobre la carga física de una intervención tecnológica y en la organización del trabajo en trabajadores en el cargo de horneros en la tarea de extracción de coque en Colombia. Se midió la carga física mediante frecuencia cardiaca e índice de costo cardiaco relativo en una población de trabajadores expuestos (37) y no expuestos (66) a una intervención tecnológica. La monitorización de la frecuencia cardiaca se realizó con 7 pulsímetros Polar RS 800cx debidamente calibrados. Las variables numéricas se describieron con base en la media aritmética, su desviación estándar, y el rango. Para evaluar la diferencia entre las medias de los grupos con respecto a la frecuencia cardiaca en reposo, media, máxima, índice de costo cardiaco relativo, gasto energético de trabajo se aplicó análisis de varianza de una vía. Se estableció a priori un nivel de significación estadística α = 0,05. Se encontraron diferencias estadísticamente significativas en el comportamiento de la frecuencia cardiaca media, frecuencia cardiaca máxima e índice de costo cardiaco relativo, entre los grupos de estudio. Se concluyó que este estudio valida la frecuencia cardiaca como una variable sensible para la medición del riesgo por carga física y a su utilidad en la evaluación intervenciones ergonómica. El estudio demostró que la intervención ergonómica logró controlar la carga física con una disminución significativa la frecuencia cardiaca, en el grupo de intervención.

Why labor income shares seem to be constant?

The common assumptions that labor income share does not change over time or across countries and that factor income shares are equal to the elasticity of output with respect to factors have had important implications for economic theory. However, there are various theoretical reasons why the elasticity of output with respect to reproducible factors should be correlated with the stage of development. In particular, the behavior of international trade and capital flows and the existence of factor saving innovations imply such a correlation. If this correlation exists and if factor income shares are equal to the elasticity of output with respect to factors then the labor income share must be negatively correlated with the stage of development. We propose an explanation for why labor income share has no correlation with income per capita: the existence of a labor intensive sector which produces non tradable goods.

If factor shares are not constant then we have a measurment problem. can we solve it?

Recent evidence show that factor shares, if properly measured, are far from constant. Moreover, the shares of natural resources and raw labor seem to be negatively correlated with income per capita while the share of human and physical capital is positively correlated with income per capita. Now, if factor shares are not constant then (i) growth accounting exercises rely on a false assumption and (ii) there is a measurement problem. The effect that change s in factor shares ha ve on output depend on the relative abundance of factors and, fo r this reason, it is necessary to have correct measures. We propose an empiri cal methodology to solve the measurement issue and estimate TFP growth.