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  1. Contextualizing Facial Activity.Brian Parkinson - 2013 - Emotion Review 5 (1):97-103.
    Drawing on research reviewed in this special section, the present article discusses how various contextual factors impact on production and decoding of emotion-related facial activity. Although emotion-related variables often contribute to activation of prototypical “emotion expressions” and perceivers can often infer emotional meanings from these facial configurations, neither process is invariant or direct. Many facial movements are directed towards or away from events in the shared environment, and their effects depend on these relational orientations. Facial activity is not only a (...)
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  • Advances in the Study of Facial Expression: An Introduction to the Special Section.José-Miguel Fernández-Dols - 2013 - Emotion Review 5 (1):3-7.
    For more than a century expressions have been approached as bidimensional, static, instantaneous, self-contained, well-defined, and universal signals. These assumptions are starting to be empirically reconsidered: this special section of Emotion Review includes reviews on the physical, social, and cultural dynamics of expressions, and on the complex ways in which, throughout the lifespan, facial behavior and emotion are perceived and categorized by primates’ and humans’ brain. All these advances are certainly paving the way for new exciting approaches to facial behavior (...)
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  • A Novel Test of the Duchenne Marker: Smiles After Botulinum Toxin Treatment for Crow’s Feet Wrinkles.Nancy Etcoff, Shannon Stock, Eva G. Krumhuber & Lawrence Ian Reed - 2021 - Frontiers in Psychology 11.
    Smiles that vary in muscular configuration also vary in how they are perceived. Previous research suggests that “Duchenne smiles,” indicated by the combined actions of the orbicularis oculi and the zygomaticus major muscles, signal enjoyment. This research has compared perceptions of Duchenne smiles with non-Duchenne smiles among individuals voluntarily innervating or inhibiting the orbicularis oculi muscle. Here we used a novel set of highly controlled stimuli: photographs of patients taken before and after receiving botulinum toxin treatment for crow’s feet lines (...)
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  • 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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  • 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.
  • Development and Validation of Verbal Emotion Vignettes in Portuguese, English, and German.Tanja S. H. Wingenbach, Leticia Y. Morello, Ana L. Hack & Paulo S. Boggio - 2019 - Frontiers in Psychology 10.
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  • Editorial: Dynamic Emotional Communication.Wataru Sato, Eva G. Krumhuber, Tjeerd Jellema & Justin H. G. Williams - 2019 - Frontiers in Psychology 10.
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  • Emotional Empathy and Facial Mimicry for Static and Dynamic Facial Expressions of Fear and Disgust.Krystyna Rymarczyk, Łukasz Żurawski, Kamila Jankowiak-Siuda & Iwona Szatkowska - 2016 - Frontiers in Psychology 7.
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  • Empathy in Facial Mimicry of Fear and Disgust: Simultaneous EMG-fMRI Recordings During Observation of Static and Dynamic Facial Expressions.Krystyna Rymarczyk, Łukasz Żurawski, Kamila Jankowiak-Siuda & Iwona Szatkowska - 2019 - Frontiers in Psychology 10.
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  • The Role of Pattern Extrapolation in the Perception of Dynamic Facial Expressions in Autism Spectrum Disorder.Letizia Palumbo, Sylwia T. Macinska & Tjeerd Jellema - 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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  • Dynamic Displays Enhance the Ability to Discriminate Genuine and Posed Facial Expressions of Emotion.Shushi Namba, Russell S. Kabir, Makoto Miyatani & Takashi Nakao - 2018 - Frontiers in Psychology 9.
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  • Jumping for Joy: The Importance of the Body and of Dynamics in the Expression and Recognition of Positive Emotions.Marcello Mortillaro & Daniel Dukes - 2018 - Frontiers in Psychology 9.
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  • PERVALE-S: A New Cognitive Task to Assess Deaf People’s Ability to Perceive Basic and Social Emotions.José M. Mestre, Cristina Larrán, Joaquín Herrero, Rocío Guil & Gabriel G. de la Torre - 2015 - Frontiers in Psychology 6.
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  • Deficits in the Mimicry of Facial Expressions in Parkinson's Disease.Steven R. Livingstone, Esztella Vezer, Lucy M. McGarry, Anthony E. Lang & Frank A. Russo - 2016 - Frontiers in Psychology 7.
  • Recognizing Genuine From Posed Facial Expressions: Exploring the Role of Dynamic Information and Face Familiarity.Karen Lander & Natalie L. Butcher - 2020 - Frontiers in Psychology 11.
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  • Independence of Face Identity and Expression Processing: Exploring the Role of Motion.Karen Lander & Natalie Butcher - 2015 - Frontiers in Psychology 6.
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  • Intense or Malicious? The Decoding of Eyebrow-Lowering Frowning in Laughter Animations Depends on the Presentation Mode.Jennifer Hofmann - 2014 - Frontiers in Psychology 5.
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  • Dyadic Dynamics: The Impact of Emotional Responses to Facial Expressions on the Perception of Power.Shlomo Hareli, Mano Halhal & Ursula Hess - 2018 - Frontiers in Psychology 9.
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  • Use and Usefulness of Dynamic Face Stimuli for Face Perception Studies—a Review of Behavioral Findings and Methodology.Katharina Dobs, Isabelle Bülthoff & Johannes Schultz - 2018 - Frontiers in Psychology 9.
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  • Development and Validation of the Yonsei Face Database.Kyong-Mee Chung, Soojin Kim, Woo Hyun Jung & Yeunjoo Kim - 2019 - Frontiers in Psychology 10.
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  • Human Observers and Automated Assessment of Dynamic Emotional Facial Expressions: KDEF-Dyn Database Validation.Manuel G. Calvo, Andrés Fernández-Martín, Guillermo Recio & Daniel Lundqvist - 2018 - Frontiers in Psychology 9.
  • Developmental Prosopagnosia and Elastic Versus Static Face Recognition in an Incidental Learning Task.Tom Bylemans, Leia Vrancken & Karl Verfaillie - 2020 - Frontiers in Psychology 11.
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  • Hemiface Differences in Visual Exploration Patterns When Judging the Authenticity of Facial Expressions.Yuri Busin, Katerina Lukasova, Manish K. Asthana & Elizeu C. Macedo - 2018 - Frontiers in Psychology 8.
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  • The 4D Space-Time Dimensions of Facial Perception.Adelaide L. Burt & David P. Crewther - 2020 - Frontiers in Psychology 11.
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  • Recognition of Emotions From Facial Point-Light Displays.Christel Bidet-Ildei, Arnaud Decatoire & Sandrine Gil - 2020 - Frontiers in Psychology 11.
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  • Four Not Six: Revealing Culturally Common Facial Expressions of Emotion.Rachael E. Jack, Wei Sun, Ioannis Delis, Oliver G. B. Garrod & Philippe G. Schyns - 2016 - Journal of Experimental Psychology: General 145 (6):708-730.
  • The Effects of Culture and Context on Perceptions of Robotic Facial Expressions.Casey C. Bennett & Selma Šabanović - 2015 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 16 (2):272-302.
    We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects. Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. The results seem (...)
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  • Perceptual and Affective Mechanisms in Facial Expression Recognition: An Integrative Review.Manuel G. Calvo & Lauri Nummenmaa - 2016 - Cognition and Emotion 30 (6).
  • Person Perception From Changing Emotional Expressions: Primacy, Recency, or Averaging Effect?Xia Fang, Gerben A. van Kleef & Disa A. Sauter - 2018 - Cognition and Emotion 32 (8):1597-1610.
    ABSTRACTDynamic changes in emotional expressions are a valuable source of information in social interactions. As the expressive behaviour of a person changes, the inferences drawn from the behaviour may also change. Here, we test the possibility that dynamic changes in emotional expressions affect person perception in terms of stable trait attributions. Across three experiments, we examined perceivers’ inferences about others’ personality traits from changing emotional expressions. Expressions changed from one emotion to another emotion, allowing us to disentangle potential primacy, recency, (...)
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  • The Effects of Culture and Context on Perceptions of Robotic Facial Expressions.Casey C. Bennett & Selma Šabanović - 2015 - Interaction Studies 16 (2):272-302.
    We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects. Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. The results seem (...)
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  • The Effects of Culture and Context on Perceptions of Robotic Facial Expressions.Casey C. Bennett & Selma Šabanović - 2015 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 16 (2):272-302.
    We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects. Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. The results seem (...)
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  • Emotion Perception From a Componential Perspective.Vera Shuman, Elizabeth Clark-Polner, Ben Meuleman, David Sander & Klaus R. Scherer - 2017 - Cognition and Emotion 31 (1):47-56.
  • The Role of Motion and Intensity in Deaf Children’s Recognition of Real Human Facial Expressions of Emotion.Anna C. Jones, Roberto Gutierrez & Amanda K. Ludlow - 2018 - Cognition and Emotion 32 (1):102-115.
    ABSTRACTThere is substantial evidence to suggest that deafness is associated with delays in emotion understanding, which has been attributed to delays in language acquisition and opportunities to converse. However, studies addressing the ability to recognise facial expressions of emotion have produced equivocal findings. The two experiments presented here attempt to clarify emotion recognition in deaf children by considering two aspects: the role of motion and the role of intensity in deaf children’s emotion recognition. In Study 1, 26 deaf children were (...)
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  • Perceptions of Duchenne and Non-Duchenne Smiles: A Meta-Analysis.Sarah D. Gunnery & Mollie A. Ruben - 2016 - Cognition and Emotion 30 (3):501-515.
  • Development and Validation of a Facial Expression Database Based on the Dimensional and Categorical Model of Emotions.Tomomi Fujimura & Hiroyuki Umemura - 2018 - Cognition and Emotion 32 (8):1663-1670.
    ABSTRACTThe present study describes the development and validation of a facial expression database comprising five different horizontal face angles in dynamic and static presentations. The database includes twelve expression types portrayed by eight Japanese models. This database was inspired by the dimensional and categorical model of emotions: surprise, fear, sadness, anger with open mouth, anger with closed mouth, disgust with open mouth, disgust with closed mouth, excitement, happiness, relaxation, sleepiness, and neutral. The expressions were validated using emotion classification and Affect (...)
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