Embodied Simulation in Decoding Facial Expression

2017 ◽  
Author(s):  
Paula M. Niedenthal ◽  
Adrienne Wood ◽  
Magdalena Rychlowska ◽  
Sebastian Korb
Keyword(s):  
Facial Expression ◽  
General Effect ◽  
Embodied Simulation ◽  
Facial Mimicry ◽  
Facial Expression Of Emotion ◽  
Expression Of Emotion ◽  
Facial Expressions Of Emotion ◽  
Behavioral Evidence ◽  
Decoding Accuracy

The present chapter explores evidence for the role of embodied simulation and facial mimicry in the decoding of facial expression of emotion. We begin the chapter by reviewing evidence in favor of the hypothesis that mimicking a perceived facial expression helps the perceiver achieve greater decoding accuracy. We report experimental and correlational evidence in favor of the general effect, and we also examine the assertion that facial mimicry influences perceptual processing of facial expression. Finally, after examining the behavioral evidence, we look into the brain to explore the neural circuitry and chemistry involved in embodied simulation of facial expressions of emotion.

scholarly journals The Simulation of Smiles (SIMS) model: Embodied simulation and the meaning of facial expression

2010 ◽  
Vol 33 (6) ◽  
pp. 417-433 ◽  
Author(s):  
Paula M. Niedenthal ◽  
Martial Mermillod ◽  
Marcus Maringer ◽  
Ursula Hess
Keyword(s):  
Facial Expression ◽  
Brain Research ◽  
Eye Gaze ◽  
Grounded Cognition ◽  
Future Research ◽  
Embodied Simulation ◽  
Facial Mimicry ◽  
Facial Expression Of Emotion ◽  
Expression Of Emotion ◽  
The Many

AbstractRecent application of theories of embodied or grounded cognition to the recognition and interpretation of facial expression of emotion has led to an explosion of research in psychology and the neurosciences. However, despite the accelerating number of reported findings, it remains unclear how the many component processes of emotion and their neural mechanisms actually support embodied simulation. Equally unclear is what triggers the use of embodied simulation versus perceptual or conceptual strategies in determining meaning. The present article integrates behavioral research from social psychology with recent research in neurosciences in order to provide coherence to the extant and future research on this topic. The roles of several of the brain's reward systems, and the amygdala, somatosensory cortices, and motor centers are examined. These are then linked to behavioral and brain research on facial mimicry and eye gaze. Articulation of the mediators and moderators of facial mimicry and gaze are particularly useful in guiding interpretation of relevant findings from neurosciences. Finally, a model of the processing of the smile, the most complex of the facial expressions, is presented as a means to illustrate how to advance the application of theories of embodied cognition in the study of facial expression of emotion.

Capacity-Free Automatic Processing of Facial Expressions of Emotion

2020 ◽  
Author(s):  
Joshua W Maxwell ◽  
Eric Ruthruff ◽  
michael joseph
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Face Processing ◽  
Emotional Expressions ◽  
Facial Expression Of Emotion ◽  
Expression Of Emotion ◽  
Facial Expressions Of Emotion ◽  
Correspondence Effect ◽  
Experimental Logic ◽  
Face Task

Are facial expressions of emotion processed automatically? Some authors have not found this to be the case (Tomasik et al., 2009). Here we revisited the question with a novel experimental logic – the backward correspondence effect (BCE). In three dual-task studies, participants first categorized a sound (Task 1) and then indicated the location of a target face (Task 2). In Experiment 1, Task 2 required participants to search for one facial expression of emotion (angry or happy). We observed positive BCEs, indicating that facial expressions of emotion bypassed the central attentional bottleneck and thus were processed in a capacity-free, automatic manner. In Experiment 2, we replicated this effect but found that morphed emotional expressions (which were used by Tomasik) were not processed automatically. In Experiment 3, we observed similar BCEs for another type of face processing previously shown to be capacity-free – identification of familiar faces (Jung et al., 2013). We conclude that facial expressions of emotion are identified automatically when sufficiently unambiguous.

scholarly journals The future of SIMS: Who embodies which smile and when?

2010 ◽  
Vol 33 (6) ◽  
pp. 464-480 ◽  
Author(s):  
Paula M. Niedenthal ◽  
Martial Mermillod ◽  
Marcus Maringer ◽  
Ursula Hess
Keyword(s):  
Facial Expression ◽  
Eye Contact ◽  
Initial Position ◽  
Top Down ◽  
The Core ◽  
Facial Expression Of Emotion ◽  
Expression Of Emotion ◽  
Target Article ◽  
The Future

AbstractThe set of 30 stimulating commentaries on our target article helps to define the areas of our initial position that should be reiterated or else made clearer and, more importantly, the ways in which moderators of and extensions to the SIMS can be imagined. In our response, we divide the areas of discussion into (1) a clarification of our meaning of “functional,” (2) a consideration of our proposed categories of smiles, (3) a reminder about the role of top-down processes in the interpretation of smile meaning in SIMS, (4) an evaluation of the role of eye contact in the interpretation of facial expression of emotion, and (5) an assessment of the possible moderators of the core SIMS model. We end with an appreciation of the proposed extensions to the model, and note that the future of research on the problem of the smile appears to us to be assured.

Show and Tell: The Role of Language in Categorizing Facial Expression of Emotion

2010 ◽  
Vol 2 (3) ◽  
pp. 255-260 ◽  
Author(s):  
Debi Roberson ◽  
Ljubica Damjanovic ◽  
Mariko Kikutani
Keyword(s):  
Facial Expression ◽  
Facial Expression Of Emotion ◽  
Expression Of Emotion

scholarly journals Measuring facial expression of emotion

2015 ◽  
Vol 17 (4) ◽  
pp. 457-462 ◽  
Keyword(s):  
Facial Expression ◽  
Healthy Population ◽  
Social Environments ◽  
Technical Problems ◽  
New Developments ◽  
Facial Expression Of Emotion ◽  
Expression Of Emotion ◽  
Facial Expressions Of Emotion ◽  
The Subject ◽  
Real Time Identification

Research into emotions has increased in recent decades, especially on the subject of recognition of emotions. However, studies of the facial expressions of emotion were compromised by technical problems with visible video analysis and electromyography in experimental settings. These have only recently been overcome. There have been new developments in the field of automated computerized facial recognition; allowing real-time identification of facial expression in social environments. This review addresses three approaches to measuring facial expression of emotion and describes their specific contributions to understanding emotion in the healthy population and in persons with mental illness. Despite recent progress, studies on human emotions have been hindered by the lack of consensus on an emotion theory suited to examining the dynamic aspects of emotion and its expression. Studying expression of emotion in patients with mental health conditions for diagnostic and therapeutic purposes will profit from theoretical and methodological progress.

scholarly journals Damage to Association Fiber Tracts Impairs Recognition of the Facial Expression of Emotion

2009 ◽  
Vol 29 (48) ◽  
pp. 15089-15099 ◽  
Author(s):  
C. L. Philippi ◽  
S. Mehta ◽  
T. Grabowski ◽  
R. Adolphs ◽  
D. Rudrauf
Keyword(s):  
Facial Expression ◽  
Fiber Tracts ◽  
Facial Expression Of Emotion ◽  
Expression Of Emotion

Autonomic Reactivity and Facial Expression of Emotion in Brain-Damaged Patients

1989 ◽  
pp. 204-221 ◽  
Author(s):  
Carlo Caltagirone ◽  
Pierluigi Zoccolotti ◽  
Giancarlo Originale ◽  
Antonio Daniele ◽  
Alessandra Mammucari
Keyword(s):  
Facial Expression ◽  
Autonomic Reactivity ◽  
Facial Expression Of Emotion ◽  
Expression Of Emotion
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