EMOTIONS VERSUS BEHAVIORAL ECOLOGY VIEWS OF FACIAL EXPRESSION: THE STATE OF THE EVIDENCE

1994 ◽  
pp. 140-186
Author(s):  
ALAN J. FRIDLUND
Keyword(s):  
Facial Expression ◽  
Behavioral Ecology ◽  
The State

Nonverbal Communication

2017 ◽  
Author(s):  
Alfonso Troisi
Keyword(s):  
Facial Expression ◽  
Nonverbal Communication ◽  
Behavioral Ecology ◽  
Nonverbal Behavior ◽  
Emotional State ◽  
Real Life ◽  
Nonverbal Behaviors ◽  
Theoretical Frameworks ◽  
Emotional Model ◽  
The Impact

Humans use two different means to exchange information: language and nonverbal communication. Often nonverbal signals emphasize and specify what is being said with words. Yet sometimes they collide, and the words are contradicted by what seeps through facial expression, gesture, and posture. This chapter discusses two theoretical frameworks for studying these nonverbal behaviors. The first approach (the emotional model) aims at unveiling the emotional state from facial expression and gesture. The second approach (the behavioral ecology model) analyzes the social meaning of nonverbal behavior, regardless of the emotional state of the sender of nonverbal signals. The two models are not incompatible and can be integrated to study nonverbal behavior. Yet, the behavioral ecology model explains some findings that are not accounted for by the emotional model. The final part of the chapter deals with neuropsychiatric conditions, such as Williams syndrome and prosopagnosia, that alter the encoding and decoding of nonverbal signals. The impact of these conditions on real-life social behavior can be dramatic, which shows the adaptive relevance of nonverbal communication.

The Science of Facial Expression

2017 ◽  
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Behavioral Ecology ◽  
Developmental Psychology ◽  
Appraisal Theory ◽  
Broad Perspective ◽  
Evolutionary Origins ◽  
Great Debate ◽  
Theory Versus ◽  
Many Sources

Organized in eleven thematic sections, The Science of Facial Expression offers a broad perspective of the “geography” of the science of facial expression. It reviews the scientific history of emotion perception and the evolutionary origins and functions of facial expression. It includes an updated compilation on the great debate around Basic Emotion Theory versus Behavioral Ecology and Psychological constructionism. The developmental psychology and social psychology of facial expressions is explored in the role of facial expressions in child development, social interactions, and culture. The book also covers appraisal theory, concepts, neural and behavioral processes, and lesser-known facial behaviors such as yawing, vocal crying, and vomiting. In addition, the book reflects that research on the “expression of emotion” is moving towards a significance of context in the production and interpretation of facial expression The authors expose various fundamental questions and controversies yet to be resolved, but in doing so, open many sources of inspiration to pursue in the scientific study of facial expression.

scholarly journals La etología como herramienta para la conservación de fauna silvestre

2016 ◽  
Vol 8 ◽  
pp. 391
Author(s):  
ALCIDES SAMPEDRO MARÍN
Keyword(s):  
Natural Selection ◽  
Environmental Education ◽  
Behavioral Ecology ◽  
Biological Diversity ◽  
Anthropogenic Impacts ◽  
Adaptive Strategies ◽  
The State ◽  
Effective Size ◽  
Darwinian Theory ◽  
Living Organisms

The origins of ethology as a discipline are explained and is a proof of the Darwinian theory of the action of natural selection leading to the adaptive strategies that allow survival of living organisms. The emergence of behavioral ecology stands out as an important tool for the conservation of biological diversity. Its premises are explained, as well as several examples of behavior that affect the effective size of populations and anthropogenic impacts on various behaviors.Finally, the use of behavioral ecology as an indicator of the state of ecosystems and species and to develop environmental education is exemplified.

Introduction to State-and Prediction-Based Theory

2020 ◽  
pp. 29-34
Keyword(s):  
Behavioral Ecology ◽  
Environmental Conditions ◽  
The State ◽  
Dynamic State ◽  
Modern Theory ◽  
Specific Measure ◽  
Future Time ◽  
State Variable ◽  
Individual Based Models ◽  
The Individual

This chapter discusses the state- and prediction-based theory (SPT) and its use in individual-based models (IBMs). The fundamental concept of modern theory in behavioral ecology is that behavior acts to maximize a specific measure of fitness at a specific future time, and that this fitness measure incorporates multiple elements, such as the need to avoid predators, the need to avoid starvation, and the benefits of energy accumulation for reproduction. This concept has been applied widely and successfully in dynamic state variable modeling (DSVM), and SPT was developed as a way of using the same principle in IBMs when feedback from the behavior of other individuals, combined with unpredictable environmental conditions, make the assumption of optimality used by DSVM impossible. The chapter then looks at the differences between SPT and DSVM. To model populations of adaptive individuals, SPT is implemented using five steps. These steps include embedding SPT in an IBM that simulates the processes that drive behavior, both internal to the individual and external.

scholarly journals 3-Dimensional facial expression recognition in human using multi-points warping

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Olalekan Agbolade ◽  
Azree Nazri ◽  
Razali Yaakob ◽  
Abdul Azim Ghani ◽  
Yoke Kqueen Cheah
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Recognition Accuracy ◽  
State Of The Art ◽  
The State ◽  
Superior Performance ◽  
Reference Object ◽  
Expression Recognition ◽  
Localization Error ◽  
Template Mesh

Abstract Background Expression in H-sapiens plays a remarkable role when it comes to social communication. The identification of this expression by human beings is relatively easy and accurate. However, achieving the same result in 3D by machine remains a challenge in computer vision. This is due to the current challenges facing facial data acquisition in 3D; such as lack of homology and complex mathematical analysis for facial point digitization. This study proposes facial expression recognition in human with the application of Multi-points Warping for 3D facial landmark by building a template mesh as a reference object. This template mesh is thereby applied to each of the target mesh on Stirling/ESRC and Bosphorus datasets. The semi-landmarks are allowed to slide along tangents to the curves and surfaces until the bending energy between a template and a target form is minimal and localization error is assessed using Procrustes ANOVA. By using Principal Component Analysis (PCA) for feature selection, classification is done using Linear Discriminant Analysis (LDA). Result The localization error is validated on the two datasets with superior performance over the state-of-the-art methods and variation in the expression is visualized using Principal Components (PCs). The deformations show various expression regions in the faces. The results indicate that Sad expression has the lowest recognition accuracy on both datasets. The classifier achieved a recognition accuracy of 99.58 and 99.32% on Stirling/ESRC and Bosphorus, respectively. Conclusion The results demonstrate that the method is robust and in agreement with the state-of-the-art results.

Evaluating real-life performance of the state-of-the-art in facial expression recognition using a novel YouTube-based datasets

2017 ◽  
Vol 77 (1) ◽  
pp. 917-937 ◽  
Author(s):  
Muhammad Hameed Siddiqi ◽  
Maqbool Ali ◽  
Mohamed Elsayed Abdelrahman Eldib ◽  
Asfandyar Khan ◽  
Oresti Banos ◽  
...  
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
State Of The Art ◽  
Real Life ◽  
The State ◽  
Expression Recognition

Natural Facial Expression

2017 ◽  
Author(s):  
José-Miguel Fernández-Dols
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Behavioral Ecology ◽  
Basic Emotion ◽  
Basic Emotions ◽  
Communicative Function ◽  
Emotional Episodes

The notion that there are universal facial expressions of basic emotion remains a dominant idea in the study of emotion. Inspired by pragmatics, and based on behavioral ecology and psychological constructionism, this chapter provides an alternative to the concept of facial expression of basic emotion: the concept of natural facial expression. Actual, observable natural facial expressions do not mean self-contained, discrete basic emotions; they are instead related to different components of diverse emotional episodes. Their communicative function is not semantic (e.g., a smile does not means happiness) but pragmatic (e.g., a smile prompts, on the receiver’s side, important inferences about the context and course of the interaction between sender and receiver).

Sign in / Sign up

Export Citation Format

Share Document