An ERP Study of the Temporal Course of Gender-Color Stroop Effect

Red biases sex categorization of human bodies

Color is associated with gender information (e.g., red-female). However, little has been known on the effect of color on sex recognition of human bodies. This study aimed to investigate whether the color red could influence the categorization of human bodies by sex, and the effect of contextual information. Visual stimuli were created using body silhouettes varying along the waist-to-hip ratio from female to male shapes. These stimuli were presented in conjunction with red, green, and gray colors, which were used either as body color (Experiment 1) or background color (Experiment 2). Participants were instructed to categorize the sex of the body stimuli as either male or female by pressing labeled keys. The results showed that when red was used as a body color, it induced a bias toward feminine body perception, while when used as a background color, it induced a bias toward masculine body perception. Thus, the color red influenced the sex categorization of human bodies, which being modulated by contextual information. These findings provided novel insights into the effect of contextual color cues in sex recognition of human bodies.

An automatic red-female association tested by the Stroop task

Colors have been reported to be associated with genders (e.g., reddish color-females). Here, we investigated color-gender associations (red-female/green-male) among Japanese participants using two Stroop-word categorization tasks. Ten Japanese gendered words were chosen as visual stimuli. In Experiment 1 (N = 23), participants were instructed to indicate whether a target word presented in either red, green, or gray font color was a masculine or feminine word. Results showed a congruency effect of red-female association that red font color facilitated the categorization of feminine words and inhibited the categorization of masculine words compared to other colors. No significant effect of green-male association was observed. Experiment 2 (N = 23 newly recruited participants) examined whether the congruency effect of color-gender associations could bias perceptual font color categorization. Participants were asked to discriminate whether the font color, with low saturation, was red or green while ignoring the word's meaning. Results showed that participants responded faster and made fewer errors when categorizing red font colors for feminine words than masculine words. Additionally, a congruent effect of green-male association on performance accuracy was observed, although it did not affect response times. These results indicate the existence of an automatically activated red-female association, which can influence both conceptual gender categorization and perceptual color processing.

Red background color biases gender categorization of human faces

Color carries gender information (e.g., red-female). This study explored whether background color could influence the gender categorization of human faces. Visual stimuli were generated from faces whose sexually dimorphic content was morphed monotonically from female to male perception. The face stimulus was presented upright (Experiment 1) and inverted (Experiment 2) with three background colors (i.e., red, green, and gray). Participants were instructed to categorize the gender of the face stimulus as male or female by pressing one of two labelled keys. Results showed that a red background could bias the gender of an ambiguous upright face toward a female compared with green and gray background colors (Experiment 1). However, this red effect was diminished when the face stimulus was inverted (Experiment 2). These results suggest that red background color interacting with facial configuration features biases gender perception toward a female face, possibly through top-down processing of learned associations between the color red and femininity.

English colour terms carry gender and valence biases: A corpus study using word embeddings

In Western societies, the stereotype prevails that pink is for girls and blue is for boys. A third possible gendered colour is red. While liked by women, it represents power, stereotypically a masculine characteristic. Empirical studies confirmed such gendered connotations when testing colour-emotion associations or colour preferences in males and females. Furthermore, empirical studies demonstrated that pink is a positive colour, blue is mainly a positive colour, and red is both a positive and a negative colour. Here, we assessed if the same valence and gender connotations appear in widely available written texts (Wikipedia and newswire articles). Using a word embedding method (GloVe), we extracted gender and valence biases for blue, pink, and red, as well as for the remaining basic colour terms from a large English-language corpus containing six billion words. We found and confirmed that pink was biased towards femininity and positivity, and blue was biased towards positivity. We found no strong gender bias for blue, and no strong gender or valence biases for red. For the remaining colour terms, we only found that green, white, and brown were positively biased. Our finding on pink shows that writers of widely available English texts use this colour term to convey femininity. This gendered communication reinforces the notion that results from research studies find their analogue in real word phenomena. Other findings were either consistent or inconsistent with results from research studies. We argue that widely available written texts have biases on their own, because they have been filtered according to context, time, and what is appropriate to be reported.