scholarly journals Lighting for pedestrians: Does multi-tasking affect the performance of typical pedestrian tasks?

2021 ◽  
pp. 147715352110026
Author(s):  
Y Mao ◽  
S Fotios
Keyword(s):  
Emotion Recognition ◽  
Recognition Task ◽  
Obstacle Detection ◽  
Detection Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Impaired Performance ◽  
Lighting Conditions ◽  
Multiple Tasks ◽  
Visual Tasks

Obstacle detection and facial emotion recognition are two critical visual tasks for pedestrians. In previous studies, the effect of changes in lighting was tested for these as individual tasks, where the task to be performed next in a sequence was known. In natural situations, a pedestrian is required to attend to multiple tasks, perhaps simultaneously, or at least does not know which of several possible tasks would next require their attention. This multi-tasking might impair performance on any one task and affect evaluation of optimal lighting conditions. In two experiments, obstacle detection and facial emotion recognition tasks were performed in parallel under different illuminances. Comparison of these results with previous studies, where these same tasks were performed individually, suggests that multi-tasking impaired performance on the peripheral detection task but not the on-axis facial emotion recognition task.

Affective functioning and social cognition in Noonan syndrome

2011 ◽  
Vol 42 (2) ◽  
pp. 419-426 ◽  
Author(s):  
E. Wingbermühle ◽  
J. I. M. Egger ◽  
W. M. A. Verhoeven ◽  
I. van der Burgt ◽  
R. P. C. Kessels
Keyword(s):  
Social Cognition ◽  
Emotion Recognition ◽  
Noonan Syndrome ◽  
Heart Defects ◽  
Genetic Disorder ◽  
Recognition Task ◽  
Well Being ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Clinical Group

BackgroundNoonan syndrome (NS) is a common genetic disorder, characterized by short stature, facial dysmorphia, congenital heart defects and a mildly lowered IQ. Impairments in psychosocial functioning have often been suggested, without, however, systematic investigation in a clinical group. In this study, different aspects of affective processing, social cognition and behaviour, in addition to personal well-being, were assessed in a large group of patients with NS.MethodForty adult patients with NS were compared with 40 healthy controls, matched with respect to age, sex, intelligence and education level. Facial emotion recognition was measured with the Emotion Recognition Task (ERT), alexithymia with both the 20-item Toronto Alexithymia Scale (TAS-20) and the Bermond–Vorst Alexithymia Questionnaire (BVAQ), and mentalizing with the Theory of Mind (ToM) test. The Symptom Checklist-90 Revised (SCL-90-R) and the Scale for Interpersonal Behaviour (SIB) were used to record aspects of psychological well-being and social interaction.ResultsPatients showed higher levels of cognitive alexithymia than controls. They also experienced more social distress, but the frequency of engaging in social situations did not differ. Facial emotion recognition was only slightly impaired.ConclusionsHigher levels of alexithymia and social discomfort are part of the behavioural phenotype of NS. However, patients with NS have relatively intact perception of emotions in others and unimpaired mentalizing. These results provide insight into the underlying mechanisms of social daily life functioning in this patient group.

Impaired Recognition of Negative Facial Emotions in Body Dysmorphic Disorder

2019 ◽  
Vol 25 (08) ◽  
pp. 884-889 ◽  
Author(s):  
Sally A. Grace ◽  
Wei Lin Toh ◽  
Ben Buchanan ◽  
David J. Castle ◽  
Susan L. Rossell
Keyword(s):  
Emotion Recognition ◽  
Face Processing ◽  
Body Dysmorphic Disorder ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Emotional Expressions ◽  
Healthy Controls ◽  
Facial Emotions ◽  
Healthy Control

Abstract Objectives: Patients with body dysmorphic disorder (BDD) have difficulty in recognising facial emotions, and there is evidence to suggest that there is a specific deficit in identifying negative facial emotions, such as sadness and anger. Methods: This study investigated facial emotion recognition in 19 individuals with BDD compared with 21 healthy control participants who completed a facial emotion recognition task, in which they were asked to identify emotional expressions portrayed in neutral, happy, sad, fearful, or angry faces. Results: Compared to the healthy control participants, the BDD patients were generally less accurate in identifying all facial emotions but showed specific deficits for negative emotions. The BDD group made significantly more errors when identifying neutral, angry, and sad faces than healthy controls; and were significantly slower at identifying neutral, angry, and happy faces. Conclusions: These findings add to previous face-processing literature in BDD, suggesting deficits in identifying negative facial emotions. There are treatment implications as future interventions would do well to target such deficits.

scholarly journals Do You See What I See -- Exploring the Role of Personality in Emotion Recognition using a Priming Paradigm

2020 ◽  
Author(s):  
Parama Gupta ◽  
Deepshikha Ray ◽  
Sukanto Sarkar
Keyword(s):  
Young Adult ◽  
Emotion Recognition ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Mediating Role ◽  
Priming Paradigm ◽  
Healthy Participants

The current study explored the mediating role of Neuroticism and Psychoticism involving young adult healthy participants who performed a facial emotion recognition task.

scholarly journals Facial Sadness Recognition is Modulated by Estrogen Receptor Gene Polymorphisms in Healthy Females

2018 ◽  
Vol 8 (12) ◽  
pp. 219 ◽  
Author(s):  
Mayra Gutiérrez-Muñoz ◽  
Martha Fajardo-Araujo ◽  
Erika González-Pérez ◽  
Victor Aguirre-Arzola ◽  
Silvia Solís-Ortiz
Keyword(s):  
Estrogen Receptor ◽  
Response Time ◽  
Emotion Recognition ◽  
Facial Expressions ◽  
Emotional Processing ◽  
Receptor Gene ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
The Impact

Polymorphisms of the estrogen receptor ESR1 and ESR2 genes have been linked with cognitive deficits and affective disorders. The effects of these genetic variants on emotional processing in females with low estrogen levels are not well known. The aim was to explore the impact of the ESR1 and ESR2 genes on the responses to the facial emotion recognition task in females. Postmenopausal healthy female volunteers were genotyped for the polymorphisms Xbal and PvuII of ESR1 and the polymorphism rs1256030 of ESR2. The effect of these polymorphisms on the response to the facial emotion recognition of the emotions happiness, sadness, disgust, anger, surprise, and fear was analyzed. Females carrying the P allele of the PvuII polymorphism or the X allele of the Xbal polymorphism of ESR1 easily recognized facial expressions of sadness that were more difficult for the women carrying the p allele or the x allele. They displayed higher accuracy, fast response time, more correct responses, and fewer omissions to complete the task, with a large effect size. Women carrying the ESR2 C allele of ESR2 showed a faster response time for recognizing facial expressions of anger. These findings link ESR1 and ESR2 polymorphisms in facial emotion recognition of negative emotions.

Gaze behavior in mixed facial emotion recognition task

2018 ◽  
Vol 131 ◽  
pp. S129
Author(s):  
M. Konstantinova ◽  
K. Shedenko ◽  
L. Boyko ◽  
O. Perepelkina ◽  
E. Kazimirova ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Gaze Behavior

scholarly journals Facial Emotion Recognition Impairment in Patients with Parkinson's Disease and Isolated Apathy

2010 ◽  
Vol 2010 ◽  
pp. 1-5 ◽  
Author(s):  
Mercè Martínez-Corral ◽  
Javier Pagonabarraga ◽  
Gisela Llebaria ◽  
Berta Pascual-Sedano ◽  
Carmen García-Sánchez ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Emotion Recognition ◽  
Emotional Processing ◽  
Recognition Task ◽  
Executive Dysfunction ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Affective Processing ◽  
Affective Disturbances

Apathy is a frequent feature of Parkinson's disease (PD), usually related with executive dysfunction. However, in a subgroup of PD patients apathy may represent the only or predominant neuropsychiatric feature. To understand the mechanisms underlying apathy in PD, we investigated emotional processing in PD patients with and without apathy and in healthy controls (HC), assessed by a facial emotion recognition task (FERT). We excluded PD patients with cognitive impairment, depression, other affective disturbances and previous surgery for PD. PD patients with apathy scored significantly worse in the FERT, performing worse in fear, anger, and sadness recognition. No differences, however, were found between nonapathetic PD patients and HC. These findings suggest the existence of a disruption of emotional-affective processing in cognitive preserved PD patients with apathy. To identify specific dysfunction of limbic structures in PD, patients with isolated apathy may have therapeutic and prognostic implications.

Facial emotion recognition in schizotypy: The role of accuracy and social cognitive bias

2010 ◽  
Vol 16 (3) ◽  
pp. 474-483 ◽  
Author(s):  
LAURA A. BROWN ◽  
ALEX S. COHEN
Keyword(s):  
Quality Of Life ◽  
Emotion Recognition ◽  
Social Cognitive ◽  
Rating Scale ◽  
Life Quality ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Schizotypal Personality

AbstractFacial emotion recognition deficits have been widely investigated in individuals with schizophrenia; however, it remains unclear whether these deficits reflect a trait-like vulnerability to schizophrenia pathology present in individuals at risk for the disorder. Although some studies have investigated emotion recognition in this population, findings have been mixed. The current study uses a well-validated emotion recognition task, a relatively large sample, and examines the relationship between emotion recognition, symptoms, and overall life quality. Eighty-nine individuals with psychometrically defined schizotypy and 27 controls completed the Schizotypal Personality Questionnaire, Penn Emotion Recognition Test, and a brief version of Lehman’s Quality of Life Interview. In addition to labeling facial emotions, participants rated the valence of faces using a Likert rating scale. Individuals with schizotypy were significantly less accurate than controls when labeling emotional faces, particularly neutral faces. Within the schizotypy sample, both disorganization symptoms and lower quality of life were associated with a bias toward perceiving facial expressions as more negative. Our results support previous research suggesting that poor emotion recognition is associated with vulnerability to psychosis. Although emotion recognition appears unrelated to symptoms, it probably operates by means of different processes in those with particular types of symptoms. (JINS, 2010, 16, 474–483.)

Developing and Validating a Facial Emotion Recognition Task With Graded Intensity

Assessment ◽  
2022 ◽  
pp. 107319112110680
Author(s):  
Trevor F. Williams ◽  
Niko Vehabovic ◽  
Leonard J. Simms
Keyword(s):  
Psychometric Properties ◽  
Emotion Recognition ◽  
Internal Consistency ◽  
Recognition Task ◽  
Reliability And Validity ◽  
Facial Emotion Recognition ◽  
Self Report ◽  
Facial Emotion ◽  
Validity Measures ◽  
Emotional Face

Facial emotion recognition (FER) tasks are often digitally altered to vary expression intensity; however, such tasks have unknown psychometric properties. In these studies, an FER task was developed and validated—the Graded Emotional Face Task (GEFT)—which provided an opportunity to examine the psychometric properties of such tasks. Facial expressions were altered to produce five intensity levels for six emotions (e.g., 40% anger). In Study 1, 224 undergraduates viewed subsets of these faces and labeled the expressions. An item selection algorithm was used to maximize internal consistency and balance gender and ethnicity. In Study 2, 219 undergraduates completed the final GEFT and a multimethod battery of validity measures. Finally, in Study 3, 407 undergraduates oversampled for borderline personality disorder (BPD) completed the GEFT and a self-report BPD measure. Broad FER scales (e.g., overall anger) demonstrated evidence of reliability and validity; however, more specific subscales (e.g., 40% anger) had more variable psychometric properties. Notably, ceiling/floor effects appeared to decrease both internal consistency and limit external validity correlations. The findings are discussed from the perspective of measurement issues in the social cognition literature.

scholarly journals How Interpersonal Distance Between Avatar and Human Influences Facial Affect Recognition in Immersive Virtual Reality

2021 ◽  
Vol 12 ◽  
Author(s):  
Juan del Aguila ◽  
Luz M. González-Gualda ◽  
María Angeles Játiva ◽  
Patricia Fernández-Sotos ◽  
Antonio Fernández-Caballero ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Emotion Recognition ◽  
Recognition Task ◽  
Facial Affect ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Affect Recognition ◽  
Facial Affect Recognition ◽  
Immersive Virtual Reality ◽  
Interpersonal Distance

Purpose: The purpose of this study was to determine the optimal interpersonal distance (IPD) between humans and affective avatars in facial affect recognition in immersive virtual reality (IVR). The ideal IPD is the one in which the humans show the highest number of hits and the shortest reaction times in recognizing the emotions displayed by avatars. The results should help design future therapies to remedy facial affect recognition deficits.Methods: A group of 39 healthy volunteers participated in an experiment in which participants were shown 65 dynamic faces in IVR and had to identify six basic emotions plus neutral expression presented by the avatars. We decided to limit the experiment to five different distances: D1 (35 cm), D2 (55 cm), D3 (75 cm), D4 (95 cm), and D5 (115 cm), all belonging to the intimate and personal interpersonal spaces. Of the total of 65 faces, 13 faces were presented for each of the included distances. The views were shown at different angles: 50% in frontal view, 25% from the right profile, and 25% from the left profile. The order of appearance of the faces presented to each participant was randomized.Results: The overall success rate in facial emotion identification was 90.33%, being D3 the IPD with the best overall emotional recognition hits, although statistically significant differences could not be found between the IPDs. Consistent with results obtained in previous studies, identification rates for negative emotions were higher with increasing IPD, whereas the recognition task improved for positive emotions when IPD was closer. In addition, the study revealed irregular behavior in the facial detection of the emotion surprise.Conclusions: IVR allows us to reliably assess facial emotion recognition using dynamic avatars as all the IPDs tested showed to be effective. However, no statistically significant differences in facial emotion recognition were found among the different IPDs.

scholarly journals “What Is Hidden behind the Mask?” Facial Emotion Recognition at the Time of COVID-19 Pandemic in Cognitively Normal Multiple Sclerosis Patients

Diagnostics ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 47
Author(s):  
Stefano Ziccardi ◽  
Francesco Crescenzo ◽  
Massimiliano Calabrese
Keyword(s):  
Multiple Sclerosis ◽  
Emotion Recognition ◽  
Response Times ◽  
Recognition Task ◽  
Response Speed ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Cognitively Normal ◽  
Multiple Sclerosis Patients ◽  
Human Faces

Social cognition deficits have been described in people with multiple sclerosis (PwMS), even in absence of a global cognitive impairment, affecting predominantly the ability to adequately process emotions from human faces. The COVID-19 pandemic has forced people to wear face masks that might interfere with facial emotion recognition. Therefore, in the present study, we aimed at investigating the ability of emotion recognition in PwMS from faces wearing masks. We enrolled a total of 42 cognitively normal relapsing–remitting PwMS and a matched group of 20 healthy controls (HCs). Participants underwent a facial emotion recognition task in which they had to recognize from faces wearing or not surgical masks which of the six basic emotions (happiness, anger, fear, sadness, surprise, disgust) was presented. Results showed that face masks negatively affected emotion recognition in all participants (p < 0.001); in particular, PwMS showed a global worse accuracy than HCs (p = 0.005), mainly driven by the “no masked” (p = 0.021) than the “masked” (p = 0.064) condition. Considering individual emotions, PwMS showed a selective impairment in the recognition of fear, compared with HCs, in both the conditions investigated (“masked”: p = 0.023; “no masked”: p = 0.016). Face masks affected negatively also response times (p < 0.001); in particular, PwMS were globally hastier than HCs (p = 0.024), especially in the “masked” condition (p = 0.013). Furthermore, a detailed characterization of the performance of PwMS and HCs in terms of accuracy and response speed was proposed. Results from the present study showed the effect of face masks on the ability to process facial emotions in PwMS, compared with HCs. Healthcare professionals working with PwMS at the time of the COVID-19 outbreak should take into consideration this effect in their clinical practice. Implications in the everyday life of PwMS are also discussed.

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