Recent Advances in Understanding Facial Expression Processing: New Methods, Measures and Models
A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Cognition".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 1676
Special Issue Editor
Special Issue Information
Dear Colleagues,
The human face is arguably the most important visual stimulus we encounter on a daily basis. From each other's physiognomies we extract a wealth of socially vital information regarding identity, health, and attention, among much else. One of the most important types of information we garner from a face regards a person's emotional state. Researchers have been interested in gaining a scientific understanding of our ability to transmit emotional signals via facial muscle contractions since at least since Darwin. During the 20th century, the area of facial expression research has seen a number of important advances, including the proposal of the idea of universal expressions, the debate over face specialness, and the discovery of micro-expressions. More recent directions in facial expression research have been driven by social events, such as the need to wear face masks and communicate via video chat that emerged from the COVID-19 pandemic, and the emergence of generative AI applications that can quickly render convincing (if often imperfect) images of human faces based solely on short verbal descriptions. Similarly, the move towards a greater consideration of diversity, equity, and inclusion has fostered increasing attempts to explore facial expression processing in a way that takes into account differences in ethnicity, culture, and gender. Such new ideas and directions are emerging continually in the facial expression literature, and this Special Issue aims to bring attention to them. These novel concepts include advances in the methodologies, measures, and models we employ in our ongoing endeavor to better understand how we send and receive information about our internal emotional states via our faces.
Prof. Dr. Charles Collin
Guest Editor
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Keywords
- facial expression processing
- face processing models
- measures of facial expression recognition performance
- social cognition
- generative AI
- effects of race
- effects of gender
- effects of psychopathology
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