Facial and prosodic emotion recognition in social anxiety disorder

Tseng, Huai Hsuan; Huang, Yu Lien; Chen, Jian Ting; Liang, Kuei Yu; Lin, Chao Cheng; Chen, Sue-Huei

doi:10.1080/13546805.2017.1330190

Cited by 25 publications

(18 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For example, alexithymia -a personality trait that is characterised by difficulties identifying and labelling one's subjective feelings, problems in differentiating bodily sensations and feelings, and a tendency to focus on external, as opposed to internal, experiences (Taylor, Bagby & Parker, 1991) -is associated with poorer facial emotion recognition (Lane, Hsu, Locke, Ritenbaugh & Stonnington, 2015), possibly due to reduced imitation of facial expressions (Sonnby-Borgström, 2009). Likewise, in patients with anxiety and/or depression, deficits in facial affect recognition (e.g., Gollan, McCloskey, Hoxha, & Coccaro, 2010;Tseng et al, 2017) as well as biases towards negative evaluations of emotional information (e.g., Bradley, Mogg, Falla, & Hamilton, 2010) have been reported. Such deficits were mediated by emotion intensity (improved accuracy for higher-intensity emotions) as well as the degree of symptomatology, i.e., increase in depressive symptoms resulted in increased recognition accuracy for sad faces, but decreased accuracy for other emotions (Gollan et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Naming emotions in motion: Alexithymic traits impact the perception of implied motion in facial displays of affect.

Senior¹,

Hassel²,

Waheed³

et al. 2020

Emotion

View full text Add to dashboard Cite

Something akin to motion perception occurs when actual motion is not present but implied. However, it is not known if the experience of implied motion occurs during the perception of static faces nor if the effect would vary for different facial expressions. To examine this, participants were presented with pairs of faces where successive expressions depicted either increasing emotional intensity or its diminution. Participants indicated if the second face in the pair was the same as, or different from, the first face shown. To measure general facial emotion recognition ability the Ekman 60 faces test was administered. As individual differences in depression, anxiety and alexithymia have been shown to influence face processing we measured these factors using the Hospital Anxiety and Depression scale (HADS) and the Toronto Alexithymia scale (TAS-20). As expected, participants were more likely to endorse the second face as being a match to the first when its expression implied forward motion compared to backwards motion. This effect was larger for happiness and fear and positively related to accuracy on the Ekman 60 faces task. The effect was not related to depression or anxiety but it was negatively related to scores on the difficulty identifying feelings subscale of the TAS-20, suggesting that individuals who have problems identifying their own and others' feelings experienced a reduction in implied motion. Observers process implied motion from some facial expressions of emotion but the experience is modified by the ability to recognise one's own feelings and those of others.

show abstract

Section: Introductionmentioning

confidence: 99%

Naming emotions in motion: Alexithymic traits impact the perception of implied motion in facial displays of affect.

Senior¹,

Hassel²,

Waheed³

et al. 2020

Emotion

View full text Add to dashboard Cite

show abstract

“…ASD is often comorbid with attention-deficit hyperactivity disorder (ADHD), depression, and anxiety. Previous studies have discovered that ADHD [2,27], depression [2,28], and anxiety [2,29] may be risk factors of bullying involvement and facial emotion misrecognition. In addition, sociodemographic data, such as sex [30] and age [31,32], are often considered relevant to bullying involvement.…”

Section: Introductionmentioning

confidence: 99%

Association between Facial Emotion Recognition and Bullying Involvement among Adolescents with High-Functioning Autism Spectrum Disorder

Liu

Wang

Yang

et al. 2019

IJERPH

View full text Add to dashboard Cite

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that is characterized by impaired social interaction, communication and restricted and repetitive behavior. Few studies have focused on the effect of facial emotion recognition on bullying involvement among individuals with ASD. The aim of this study was to examine the association between facial emotion recognition and different types of bullying involvement in adolescents with high-functioning ASD. We recruited 138 adolescents aged 11 to 18 years with high-functioning ASD. The adolescents’ experiences of bullying involvement were measured using the Chinese version of the School Bullying Experience Questionnaire. Their facial emotion recognition was measured using the Facial Emotion Recognition Task (which measures six emotional expressions and four degrees of emotional intensity). Logistic regression analysis was used to examine the association between facial emotion recognition and different types of bullying involvement. After controlling for the effects of age, gender, depression, anxiety, inattention, hyperactivity/impulsivity and opposition, we observed that bullying perpetrators performed significantly better on rating the intensity of emotion in the Facial Emotion Recognition Task; bullying victims performed significantly worse on ranking the intensity of facial emotion. The results of this study support the different deficits of facial emotion recognition in various types of bullying involvement among adolescents with high-functioning ASD. The different directions of association between bully involvement and facial emotion recognition must be considered when developing prevention and intervention programs.

show abstract

“…However, a 2001 literature review acknowledged the paucity of work in this domain (Heinrichs & Hofmann, 2001). Since then, three studies have attempted to address this gap (Peschard & Philippot, 2017;Quadflieg et al, 2007;Tseng et al, 2017). One study found that those who scored high on a social anxiety self-report measure were more likely to label neutral vocal stimuli with negative emotions, showing a negativity bias compared to their less-anxious peers (Peschard & Philippot, 2017).…”

mentioning

confidence: 99%

“…One study found that those who scored high on a social anxiety self-report measure were more likely to label neutral vocal stimuli with negative emotions, showing a negativity bias compared to their less-anxious peers (Peschard & Philippot, 2017). Another found that those with SAD took longer to classify fearful vocal stimuli (Tseng et al, 2017). In a paradigm most similar to the current study, Quadflieg et al (2007) found that those with SAD correctly recognized more sad and fearful voices and fewer happy voices than controls, yet there were no between-group differences in the identification of neutral, disgust, and angry prosody or in ratings of stimuli intensity in this small sample.…”

mentioning

confidence: 99%

Social anxiety symptoms, heart rate variability, and vocal emotion recognition in women: evidence for parasympathetically-mediated positivity bias

Madison

Vasey

Emery

2020

Anxiety, Stress, & Coping

View full text Add to dashboard Cite

Background and Objectives: Individuals with social anxiety disorder show pronounced perceptual biases in social contexts, such as being hypervigilant to threat and discounting positive social cues. Parasympathetic activity influences responses to the social environment and may underlie these biases. This study examined the associations among social anxiety symptoms, heart rate variability (HRV), and vocal emotion recognition. Design and Method: Female undergraduate students (N = 124) selfreported their social anxiety symptoms using the Social Anxiety Disorder Dimensional Scale and completed a computerized vocal emotion recognition task using stimuli from the Ryerson AudioVisual Database of Emotional Speech and Song stimulus set. HRV was measured at baseline and during the emotion recognition task. Results: Women with more social anxiety symptoms had higher emotion recognition accuracy (p = .021) and rated positive stimuli as less intense (p = .032). Additionally, although those with greater social anxiety symptoms did not have lower resting HRV (p = .459), they did have lower task HRV (p = .026), which mediated their lower positivity bias and greater recognition accuracy. Conclusions: A parasympathetically-mediated positivity bias may indicate or facilitate normal social functioning in women. Additionally, HRV during a symptom-or disorder-relevant task may predict task performance and reveal parasympathetic differences that are not found at baseline.

show abstract

Facial and prosodic emotion recognition in social anxiety disorder

Abstract: These findings may represent a cross-modality pattern of avoidance in the later stage of identifying negative emotions in SAD. This pattern may be linked to clinical symptom severity.

Cited by 25 publications

References 38 publications

Naming emotions in motion: Alexithymic traits impact the perception of implied motion in facial displays of affect.

Naming emotions in motion: Alexithymic traits impact the perception of implied motion in facial displays of affect.

Association between Facial Emotion Recognition and Bullying Involvement among Adolescents with High-Functioning Autism Spectrum Disorder

Social anxiety symptoms, heart rate variability, and vocal emotion recognition in women: evidence for parasympathetically-mediated positivity bias

Contact Info

Product

Resources

About