scholarly journals The Role of State and Trait Anxiety in the Processing of Facial Expressions of Emotion

2020 ◽  
Author(s):  
Maddy Dyer ◽  
Angela Suzanne Attwood ◽  
Ian Penton-Voak ◽  
Marcus Robert Munafo
Keyword(s):  
Facial Expressions ◽  
Trait Anxiety ◽  
Facial Expressions Of Emotion ◽  
State And Trait Anxiety

This paper has not yet been peer reviewed.

Relation of State and Trait Anxiety to Essential Hypertension

1983 ◽  
Vol 52 (2) ◽  
pp. 355-358 ◽  
Author(s):  
Gary D. Foster ◽  
Susan T. Bell
Keyword(s):  
Essential Hypertension ◽  
Trait Anxiety ◽  
Objective Measure ◽  
The State ◽  
Anxiety State ◽  
State Trait Anxiety Inventory ◽  
State And Trait Anxiety ◽  
The Relationship

This study used an objective measure of state and trait anxiety to clarify the relationship between level of anxiety and essential hypertension. The State-Trait Anxiety Inventory was administered to 30 hypertensives and their normotensive spouses. No significant differences were found between the hypertensives and normotensives on either measure of anxiety (state or trait). A significant correlation was noted, however, between the trait-anxiety scores of hypertensives and those of their spouses. The need to examine the role of anxiety in the development versus the maintenance of essential hypertension is discussed.

scholarly journals Dynamic facial expressions of emotion decouple emotion category and intensity information over time

2020 ◽  
Author(s):  
Chaona Chen ◽  
Daniel Messinger ◽  
Yaocong Duan ◽  
Robin A A Ince ◽  
Oliver G. B. Garrod ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Temporal Structure ◽  
Emotion Classification ◽  
Information Theoretic ◽  
Facial Movements ◽  
Communicative Functions ◽  
Intensity Information ◽  
Dynamic Facial Expressions ◽  
Facial Expressions Of Emotion

Facial expressions support effective social communication by dynamically transmitting complex, multi-layered messages, such as emotion categories and their intensity. How facial expressions achieve this signalling task remains unknown. Here, we address this question by identifying the specific facial movements that convey two key components of emotion communication – emotion classification (such as ‘happy,’ ‘sad’) and intensification (such as ‘very strong’) – in the six classic emotions (happy, surprise, fear, disgust, anger and sad). Using a data-driven, reverse correlation approach and an information-theoretic analysis framework, we identified in 60 Western receivers three communicative functions of face movements: those used to classify the emotion (classifiers), to perceive emotional intensity (intensifiers), and those serving the dual role of classifier and intensifier. We then validated the communicative functions of these face movements in a broader set of 18 complex facial expressions of emotion (including excited, shame, anxious, hate). We find that the timing of emotion classifier and intensifier face movements are temporally distinct, in which intensifiers peaked earlier or later than classifiers. Together, these results reveal the complexities of facial expressions as a signalling system, in which individual face movements serve specific communicative functions with a clear temporal structure.

scholarly journals Culture Shapes the Distinctiveness of Posed and Spontaneous Facial Expressions of Anger and Disgust

2021 ◽  
Author(s):  
Xia Fang ◽  
Disa Sauter ◽  
Marc Heerdink ◽  
Gerben van Kleef
Keyword(s):  
Facial Expressions ◽  
Supervised Machine Learning ◽  
Emotional Communication ◽  
Facial Muscle ◽  
Emotional Facial Expressions ◽  
Information Theoretic ◽  
Facial Expressions Of Emotion ◽  
First Time ◽  
Homogeneous Culture

There is a growing consensus that culture influences the perception of facial expressions of emotion. However, little is known about whether and how culture shapes the production of emotional facial expressions, and even less so about whether culture differentially shapes the production of posed versus spontaneous expressions. Drawing on prior work on cultural differences in emotional communication, we tested the prediction that people from the Netherlands (a historically heterogeneous culture where people are prone to low-context communication) produce facial expressions that are more distinct across emotions compared to people from China (a historically homogeneous culture where people are prone to high-context communication). Furthermore, we examined whether the degree of distinctiveness varies across posed and spontaneous expressions. Dutch and Chinese participants were instructed to either pose facial expressions of anger and disgust, or to share autobiographical events that elicited spontaneous expressions of anger or disgust. Using the complementary approaches of supervised machine learning and information-theoretic analysis of facial muscle movements, we show that posed and spontaneous facial expressions of anger and disgust were more distinct when produced by Dutch compared to Chinese participants. These findings shed new light on the role of culture in emotional communication by demonstrating, for the first time, effects on the distinctiveness of production of facial expressions.

Anxiety and the interpretation of ambiguous facial expressions: The influence of contextual cues

2007 ◽  
Vol 60 (8) ◽  
pp. 1101-1115 ◽  
Author(s):  
Isabelle Blanchette ◽  
Anne Richards ◽  
Adele Cross
Keyword(s):  
Facial Expressions ◽  
Trait Anxiety ◽  
State Anxiety ◽  
Contextual Information ◽  
High State ◽  
Contextual Cues ◽  
Facial Expressions Of Emotion ◽  
Anxiety Induction ◽  
The Impact

In 3 experiments, we investigate how anxiety influences interpretation of ambiguous facial expressions of emotion. Specifically, we examine whether anxiety modulates the effect of contextual cues on interpretation. Participants saw ambiguous facial expressions. Simultaneously, positive or negative contextual information appeared on the screen. Participants judged whether each expression was positive or negative. We examined the impact of verbal and visual contextual cues on participants’ judgements. We used 3 different anxiety induction procedures and measured levels of trait anxiety (Experiment 2). Results showed that high state anxiety resulted in greater use of contextual information in the interpretation of the facial expressions. Trait anxiety was associated with mood-congruent effects on interpretation, but not greater use of contextual information.

The role of family caregiver in the head and neck cancer: Psychological distress and quality of life evaluation.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 5546-5546
Author(s):  
Mario Airoldi ◽  
Massimiliano Garzaro ◽  
Luca Raimondo ◽  
Claudia Bartoli ◽  
Simona Carnio ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Head And Neck Cancer ◽  
Psychological Distress ◽  
Head And Neck ◽  
Trait Anxiety ◽  
Family Caregiver ◽  
Mean Value ◽  
State And Trait Anxiety

5546 Background: The family caregiver (FCG) has become a hot topic. This figure among head and neck cancer patients is still largely un-investigated; aim of our study was: 1) to describe in a more detailed way the role of FCG, 2) to evaluate quality of life (QoL) and psychological distress of FCGs and patients 3) to investigate relationships between FCG’s wellbeing and patient’s QoL and emotional pattern. Methods: Sixty couples of patients and their caregivers were enrolled in this observational cross-sectional study between April 2007 and May 2011 at 1st ENT Division, 2th Medical Oncology Division and 2th Radiotherapy Division of San Giovanni Battista Hospital of Turin. Inclusion criteria were: diagnosis of SCC, advanced stage (III-IV), completion of curative treatment and no evidence of disease at the enrolment. Psycho-oncological assessment was performed using: Distress Thermometer (DT), Stay-Trait Anxiety Inventory Manual in Y1 and Y2 form (STAI Y1-Y2), Beck Depression Inventory (BDI) and Montgomery-Asberg Depression Rating Scale (MDRS), EORTC-QLQ-C30 and Head and Neck-35 module and Caregiver Quality of Life Index-Cancer (CQOLC). Results: Patients: state and trait anxiety are 46,7% (STAI Y1 mean value 40,2±10,2; cut-off 40) and 36,7% (STAI Y2 mean value 36,7±8,2; cut off 40) respectively; self reported and clinician rated depression are 31,6% (BDI mean value 8,2±5,3; cut-off 9) and 48,3% (MDRS mean value 7,9±5,9; cut-off 6) respectively.CGs: state and trait anxiety are 50% (STAI Y1 mean value 42,5±9,9; cut-off 40) and 41,7% (STAI Y2 mean value 39,1±8,7; cut off 40) respectively; self reported and clinician rated depression are 28.3% (BDI mean value 7,3±4,7; cut-off 9) and 41.7% (MDRS mean value 7,6±5,8; cut-off 6) respectively.Data analysis underlined a positive association among emotional scales of patients and caregivers. Patients’ psychological aspects are negatively associated with caregivers’ QoL and vice versa. Conclusions: Anxiety and depression are often present in FCGs and cured HNC patients. Long term patient's QoL is the result of a frail balance between FCG and patiet emotional and psychological distress. A psychological support for FCG could improve patient well-being.

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