R
Rachael E. Jack
Researcher at University of Glasgow
Publications - 63
Citations - 3544
Rachael E. Jack is an academic researcher from University of Glasgow. The author has contributed to research in topics: Facial expression & Computer science. The author has an hindex of 19, co-authored 57 publications receiving 2807 citations. Previous affiliations of Rachael E. Jack include Glasgow Royal Infirmary.
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Facial expressions of emotion are not culturally universal
TL;DR: By refuting the long-standing universality hypothesis, the data highlight the powerful influence of culture on shaping basic behaviors once considered biologically hardwired and open a unique nature–nurture debate across broad fields from evolutionary psychology and social neuroscience to social networking via digital avatars.
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Culture shapes how we look at faces.
Caroline Blais,Caroline Blais,Rachael E. Jack,Christoph Scheepers,Daniel Fiset,Daniel Fiset,Roberto Caldara +6 more
TL;DR: These results demonstrate that face processing can no longer be considered as arising from a universal series of perceptual events, and the strategy employed to extract visual information from faces differs across cultures.
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Cultural confusions show that facial expressions are not universal.
TL;DR: This work demonstrates that by persistently fixating the eyes, Eastern observers sample ambiguous information, thus causing significant confusion, and questions the universality of human facial expressions of emotion.
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Dynamic Facial Expressions of Emotion Transmit an Evolving Hierarchy of Signals over Time
TL;DR: It is shown that dynamic facial expressions of emotion provide a sophisticated signaling system, questioning the widely accepted notion that emotion communication is comprised of six basic (i.e., psychologically irreducible) categories, and instead suggesting four.
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The Human Face as a Dynamic Tool for Social Communication
TL;DR: A vision of the future directions in the field of human facial communication within and across cultures is provided, which combines state-of-the-art computer graphics, psychophysics and vision science, cultural psychology and social cognition, and the main knowledge advances it has generated are highlighted.