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Sivananthan T, Most SB, Curby KM. Mimicking Facial Expressions Facilitates Working Memory for Stimuli in Emotion-Congruent Colours. Vision (Basel) 2024; 8:4. [PMID: 38391085 PMCID: PMC10885052 DOI: 10.3390/vision8010004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 01/20/2024] [Accepted: 01/23/2024] [Indexed: 02/24/2024] Open
Abstract
It is one thing for everyday phrases like "seeing red" to link some emotions with certain colours (e.g., anger with red), but can such links measurably bias information processing? We investigated whether emotional face information (angry/happy/neutral) held in visual working memory (VWM) enhances memory for shapes presented in a conceptually consistent colour (red or green) (Experiment 1). Although emotional information held in VWM appeared not to bias memory for coloured shapes in Experiment 1, exploratory analyses suggested that participants who physically mimicked the face stimuli were better at remembering congruently coloured shapes. Experiment 2 confirmed this finding by asking participants to hold the faces in mind while either mimicking or labelling the emotional expressions of face stimuli. Once again, those who mimicked the expressions were better at remembering shapes with emotion-congruent colours, whereas those who simply labelled them were not. Thus, emotion-colour associations appear powerful enough to guide attention, but-consistent with proposed impacts of "embodied emotion" on cognition-such effects emerged when emotion processing was facilitated through facial mimicry.
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Affiliation(s)
- Thaatsha Sivananthan
- School of Psychological Sciences, Macquarie University, Sydney, NSW 2109, Australia
- Macquarie University Performance & Expertise Research Centre, Macquarie University, Sydney, NSW 2109, Australia
| | - Steven B Most
- School of Psychology, University of New South Wales, Sydney, NSW 2052, Australia
| | - Kim M Curby
- School of Psychological Sciences, Macquarie University, Sydney, NSW 2109, Australia
- Macquarie University Performance & Expertise Research Centre, Macquarie University, Sydney, NSW 2109, Australia
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Emotional face recognition when a colored mask is worn: a cross-sectional study. Sci Rep 2023; 13:174. [PMID: 36599964 PMCID: PMC9812539 DOI: 10.1038/s41598-022-27049-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 12/23/2022] [Indexed: 01/05/2023] Open
Abstract
Studies of the impact of face masks on emotional facial expression recognition are sparse in children. Moreover, to our knowledge no study has so far considered mask color (in adults and in children), even though this esthetic property is thought to have an impact on information processing. In order to explore these issues, the present study looked at whether first- and fifth-graders and young adults were influenced by the absence or presence (and color: pink, green, red, black, or white) of a face mask when asked to judge emotional facial expressions of fear, anger, sadness, or neutrality. Analysis of results suggested that the presence of a mask did affect the recognition of sad or fearful faces but did not influence significantly the perception of angry and neutral faces. Mask color slightly modulated the recognition of facial emotional expressions, without a systematic pattern that would allow a clear conclusion to be drawn. Moreover, none of these findings varied according to age group. The contribution of different facial areas to efficient emotion recognition is discussed with reference to methodological and theoretical considerations, and in the light of recent studies.
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Takei A, Imaizumi S. Effects of color–emotion association on facial expression judgments. Heliyon 2022; 8:e08804. [PMID: 35128099 PMCID: PMC8808066 DOI: 10.1016/j.heliyon.2022.e08804] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 09/27/2021] [Accepted: 01/17/2022] [Indexed: 11/24/2022] Open
Abstract
Color and emotion are metaphorically associated in the human mind. This color–emotion association affects perceptual judgment. For example, stimuli representing colors can affect judgment of facial expressions. The present study examined whether colors associated with happiness (e.g., yellow) and sadness (e.g., blue and gray) facilitate judgments of the associated emotions in facial expressions. We also examined whether temporal proximity between color and facial stimuli interacts with any of these effects. Participants were presented with pictures of a happy or sad face against a yellow-, blue-, or gray-colored background and asked to judge whether the face represented happiness or sadness as quickly as possible. The face stimulus was presented simultaneously (Experiment 1) or preceded for one second by the colored background (Experiment 2). The analysis of response time showed that yellow facilitated happiness judgment, while neither blue nor gray facilitated sadness judgment. Moreover, the effect was found only when the face and color stimuli were presented simultaneously. The results imply that the association of sadness with blue and gray is weak and, consequently, does not affect emotional judgment. Our results also suggest that temporal proximity is critical for the effect of the color–emotion association (e.g., yellow–happiness) on emotional judgment.
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Zhang S, Liu X, Yang X, Shu Y, Liu N, Zhang D, Liu YJ. The Influence of Key Facial Features on Recognition of Emotion in Cartoon Faces. Front Psychol 2021; 12:687974. [PMID: 34447333 PMCID: PMC8382696 DOI: 10.3389/fpsyg.2021.687974] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/13/2021] [Indexed: 12/24/2022] Open
Abstract
Cartoon faces are widely used in social media, animation production, and social robots because of their attractive ability to convey different emotional information. Despite their popular applications, the mechanisms of recognizing emotional expressions in cartoon faces are still unclear. Therefore, three experiments were conducted in this study to systematically explore a recognition process for emotional cartoon expressions (happy, sad, and neutral) and to examine the influence of key facial features (mouth, eyes, and eyebrows) on emotion recognition. Across the experiments, three presentation conditions were employed: (1) a full face; (2) individual feature only (with two other features concealed); and (3) one feature concealed with two other features presented. The cartoon face images used in this study were converted from a set of real faces acted by Chinese posers, and the observers were Chinese. The results show that happy cartoon expressions were recognized more accurately than neutral and sad expressions, which was consistent with the happiness recognition advantage revealed in real face studies. Compared with real facial expressions, sad cartoon expressions were perceived as sadder, and happy cartoon expressions were perceived as less happy, regardless of whether full-face or single facial features were viewed. For cartoon faces, the mouth was demonstrated to be a feature that is sufficient and necessary for the recognition of happiness, and the eyebrows were sufficient and necessary for the recognition of sadness. This study helps to clarify the perception mechanism underlying emotion recognition in cartoon faces and sheds some light on directions for future research on intelligent human-computer interactions.
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Affiliation(s)
- Shu Zhang
- Department of Computer Science and Technology, Tsinghua University, Beijing, China
- Beijing National Research Center for Information Science and Technology, Beijing, China
| | - Xinge Liu
- Department of Computer Science and Technology, Tsinghua University, Beijing, China
- Beijing National Research Center for Information Science and Technology, Beijing, China
| | - Xuan Yang
- Department of Computer Science and Technology, Tsinghua University, Beijing, China
- Beijing National Research Center for Information Science and Technology, Beijing, China
| | - Yezhi Shu
- Department of Computer Science and Technology, Tsinghua University, Beijing, China
| | - Niqi Liu
- Department of Computer Science and Technology, Tsinghua University, Beijing, China
| | - Dan Zhang
- Department of Psychology, Tsinghua University, Beijing, China
- Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing, China
| | - Yong-Jin Liu
- Department of Computer Science and Technology, Tsinghua University, Beijing, China
- Beijing National Research Center for Information Science and Technology, Beijing, China
- Key Laboratory of Pervasive Computing, Ministry of Education, Beijing, China
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Ghasemian S, Vardanjani MM, Sheibani V, Mansouri FA. Color-hierarchies in executive control of monkeys' behavior. Am J Primatol 2021; 83:e23231. [PMID: 33400335 DOI: 10.1002/ajp.23231] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 12/22/2020] [Accepted: 12/22/2020] [Indexed: 12/22/2022]
Abstract
Processing advantages for particular colors (color-hierarchies) influence emotional regulation and cognitive functions in humans and manifest as an advantage of the red color, compared with the green color, in triggering response inhibition but not in response execution. It remains unknown how such color-hierarchies emerge in human cognition and whether they are the unique properties of human brain with advanced trichromatic vision. Dominant models propose that color-hierarchies are formed as experience-dependent learning that associates various colors with different human-made conventions and concepts (e.g., traffic lights). We hypothesized that if color-hierarchies modulate cognitive functions in trichromatic nonhuman primates, it would indicate a preserved neurobiological basis for such color-hierarchies. We trained six macaque monkeys to perform cognitive tasks that required behavioral control based on colored cues. Color-hierarchies significantly influenced monkeys' behavior and appeared as an advantage of the red color, compared to the green, in triggering response inhibition but not response execution. For all monkeys, the order of color-hierarchies, in response inhibition and also execution, was similar to that in humans. In addition, the cognitive effects of color-hierarchies were not limited to the trial in which the colored cues were encountered but also persisted in the following trials in which there was no colored cue on the visual scene. These findings suggest that color-hierarchies are not resulting from association of colors with human-made conventions and that simple processing advantage in retina or early visual pathways does not explain the cognitive effects of color-hierarchies. The discovery of color-hierarchies in cognitive repertoire of monkeys indicates that although the evolution of humans and monkeys diverged in about 25 million years ago, the color-hierarchies are evolutionary preserved, with the same order, in trichromatic primates and exert overarching effects on the executive control of behavior.
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Affiliation(s)
- Sadegh Ghasemian
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.,Cognitive Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Marzieh M Vardanjani
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.,Cognitive Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Vahid Sheibani
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.,Cognitive Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Farshad A Mansouri
- ARC Centre of Excellence for Integrative Brain Function, Monash University, Clayton, Victoria, Australia
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