Tag: Facial reactions

  • Users may be more emotionally influenced by watching mouth expressions

    In a study conducted in 2021, researchers investigated how people’s faces react to facial expressions in art. In the primary task, 47 participants had to watch various images depicting facial expressions, including faces rendered in different artistic styles—both realistic and abstract—along with varying levels of emotional intensity, while their own facial expressions were monitored using electrodes. The analytical approach involved comparing intensity of participants’ facial reactions across different facial muscles, comparing responses to realistic and nonrealistic images as well as the varying levels of emotional intensity portrayed in the images. Confounders like image classification and perceived emotion intensity were controled. Among other hypothesis, the primary hypothesis which posited that facial mimicry would happen to participants who are observing nonrealistic images as well as realistic, was supported by the results with a not found effect size. The authors suggest that participants mimicked mouth expressions most significantly. This overview provides a concise synthesis of the most relevant results. For more details, please refer to the article page.

    To use emotional contagion, mouth expressions are the strongest trigger. Emotional contagion can come from non-photographic faces like paintings and sculptings.

    Achour-Benallegue, A., Amarantini, D., Paubel, P.-V., Pelletier, J., & Kaminski, G. (2021). Facial reactions to face representations in art: An electromyography study. Psychology of Aesthetics, Creativity, and the Arts. Advance online publication. https://doi.org/10.1037/aca0000423

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  • Users may perceive virtual characters as more emotionally expressive when idle animations are active

    In a study conducted in 2021, researchers investigated the influence of idle motion on the perception of emotion expressed by virtual characters. In the primary task, 32 participants had to watch ten visual-only video clips of a virtual character showing different intensities of pain, with or without body neutral animation, and assess that pain perception by choosing one of two labels “Mild pain” or “Very intense pain”. Authors created the video-clips with the 3D software Blender and the facial expressions with the Paul Ekman FACS framework. They used motion capture to recreate a natural oscillation of the body. The analytical approach involved comparing perceived intensity of the pain expression in the idle and still condition, using a two-tailed paired t-test. Confounders like vision level were controled. Among other hypothesis, the primary hypothesis which posited that the presence of subtle movements would affect how intensely the virtual character’s facial expression of pain is perceived, was supported by the results with a moderate (p. 4) effect size. This overview provides a concise synthesis of the most relevant results. For more details, please refer to the article page.

    Add natural postural oscillations to a virtual character as it may enhances the perception of its emotions, evoking a greater empathic response from users.

    Treal, T., Jackson, P. L., Jeuvrey, J., Vignais, N., & Meugnot, A. (2021). Natural human postural oscillations enhance the empathic response to a facial pain expression in a virtual character. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-91710-5

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