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  1.  12
    Effects of Dynamic Aspects of Facial Expressions: A Review.Eva G. Krumhuber, Arvid Kappas & Antony S. R. Manstead - 2013 - Emotion Review 5 (1):41-46.
    A key feature of facial behavior is its dynamic quality. However, most previous research has been limited to the use of static images of prototypical expressive patterns. This article explores the role of facial dynamics in the perception of emotions, reviewing relevant empirical evidence demonstrating that dynamic information improves coherence in the identification of affect (particularly for degraded and subtle stimuli), leads to higher emotion judgments (i.e., intensity and arousal), and helps to differentiate between genuine and fake expressions. The findings (...)
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  2.  7
    A Review of Dynamic Datasets for Facial Expression Research. [REVIEW]Eva G. Krumhuber, Lina Skora, Dennis Küster & Linyun Fou - 2017 - Emotion Review 9 (3):280-292.
    Temporal dynamics have been increasingly recognized as an important component of facial expressions. With the need for appropriate stimuli in research and application, a range of databases of dynamic facial stimuli has been developed. The present article reviews the existing corpora and describes the key dimensions and properties of the available sets. This includes a discussion of conceptual features in terms of thematic issues in dataset construction as well as practical features which are of applied interest to stimulus usage. To (...)
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  3.  1
    Detecting Genuine and Deliberate Displays of Surprise in Static and Dynamic Faces.Mircea Zloteanu, Eva G. Krumhuber & Daniel C. Richardson - 2018 - Frontiers in Psychology 9.
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  4.  6
    Mind Perception of Robots Varies With Their Economic Versus Social Function.Xijing Wang & Eva G. Krumhuber - 2018 - Frontiers in Psychology 9.
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    Dynamics Matter: Recognition of Reward, Affiliative, and Dominance Smiles From Dynamic Vs. Static Displays.Anna B. Orlowska, Eva G. Krumhuber, Magdalena Rychlowska & Piotr Szarota - 2018 - Frontiers in Psychology 9.
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