The effects of gender, age, schooling, and cultural background on the identification of facial emotions: a transcultural study

Souza, Leonardo Cruz de; Bertoux, Maxime; Faria, Ângelo Ribeiro Vaz de; Corgosinho, Laiane Tábata Souza; Prado, Ana Carolina de Almeida; Barbosa, Izabela Guimarães; Caramelli, Paulo; Colosimo, Enrico A.; Teixeira, Antônio Lúcio

doi:10.1017/s1041610218000443

Cited by 31 publications

(20 citation statements)

References 24 publications

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“…All participants underwent a brief examination that included the MMSE and the Facial Emotion Recognition Test (FERT) derived from the Social and Emotional Assessment 17 , and the Hospital Anxiety and Depression scale (HAD). The HAD provides separate subscales for anxiety and depression.…”

Section: Methodsmentioning

confidence: 99%

“…A score above 8 in each subscale is indicative of depression or anxiety 18 . The FERT is composed by a panel of 35 pictures from Ekman's portfolio 17 , with seven different emotions (happiness, sadness, fear, disgust, surprise, anger, and neutral) presented five times each, as described elsewhere 17 . Pictures are shown in a screen in a pseudo-randomized order.…”

Section: Methodsmentioning

confidence: 99%

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Deficits in Emotion Recognition as Markers of Frontal Behavioral Dysfunction in Amyotrophic Lateral Sclerosis

Martins

Prado

Lillo

et al. 2019

JNP

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Background: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with prominent motor symptoms. ALS patients may also manifest frontal behavior and cognitive decline, including impairment in facial emotion recognition. We aimed to investigate whether deficits in emotion recognition are associated with frontal behavior symptoms in ALS. Methods: We enrolled two groups of participants: 1) patients with probable or definite sporadic ALS (n= 21, 11 male/10 female; median age 62 years-old; median disease duration = 3 years) and 2) age and education matched controls (n = 25, 18 male/11 female; median age 61 years-old). The Facial Emotion Recognition Test (FERT) was applied to all participants. Patients underwent the Cambridge Behavior Inventory-Revised (CBI-R) and were classified according to the presence of frontal behavioral symptoms into two groups: ALS with no behavioral symptom (ALSns, n = 9) and ALS with at least one behavioral symptom (ALSbs, n = 12). Results: Apathy and mood symptoms were the most frequent neuropsychiatric symptoms in ALS. ALS patients performed worse than controls in the recognition of sadness (p<0.004). There was no difference between controls and ALSns for all FERT scores, but ALSbs had lower performance than controls in sadness (p<0.003). Conclusion: Emotion recognition deficit may be a marker of frontal behavior in ALS.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Deficits in Emotion Recognition as Markers of Frontal Behavioral Dysfunction in Amyotrophic Lateral Sclerosis

Martins

Prado

Lillo

et al. 2019

JNP

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“…Obviously, audiences' use of media platforms determines the media's influence, namely, personal media dependence depends on personal factors [59]. Therefore, based on the Media Dependence Theory and the data collected on Sina Weibo users, this study hypothesizes that users' age, spatial location, and social media registration year affects their emotional expression [60,61]. Accordingly, we proposed the following hypotheses:…”

Section: Theoretical Background and Hypotheses Designmentioning

confidence: 99%

Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data (Preprint)

Shen¹,

Wen-li²,

Cao³

et al. 2021

Preprint

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BACKGROUND Wuhan, the epicenter of the COVID-19 outbreak, imposed citywide lockdown measures on 23 January 2020. Neighboring cities in the Hubei province followed suit with the government enforcing social distancing measures to restrict the spread of the disease throughout the province. Few studies have examined the emotional attitudes of citizens on social media platforms towards the imposed social distancing measures, and the factors that affected their emotions. OBJECTIVE The aim of this study is twofold. First, we detect the emotional attitudes of different groups of Sina Weibo users towards the social distancing measures imposed by the Peoples Government of Hubei Province. Second, we study the influencing factors of their emotions as well as the impact of imposed measures on users' emotions. METHODS Sina Weibo, one of China's largest social media platforms, was chosen as the primary data source. Bi-directional Long Short-Term Memory (Bi-LSTM) was used to analyze users' emotions, while logistic regression analysis was employed to explore the influence of independent variables on users' emotions, such as age and spatial locations. Further, the moderating effects of social distancing measures on the relationship between user characteristics and users' emotions are discussed through the interaction effects between the measures and independent variables. RESULTS We identified six topics of discussion, including delaying the resumption of work and school, travel restrictions, traffic restrictions, extending the Lunar New Year holiday, closing public spaces, and community containment. First, the main emotions shown by citizens were negative, including anger and fear. Women were observed to hold stronger and more positive emotions than men. Users located in the Hubei Province showed the highest amount of negative emotions in Mainland China. In addition, those who lived in emigrant provinces, or those with a high number of follows and / or posts, were inclined to express positive emotions. Older users and those with more fans were inclined to be neutral, while users in the Hubei Province, and with a longer registration time on the Sina Weibo platform, were more likely to express negative emotions. Further, different social distancing measures had unalike moderating effects on the relationship between user characteristics and users' emotions. CONCLUSIONS This study identified the emotional attitudes of Sina Weibo users towards the social distancing measures imposed by the Peoples Government of Hubei Province, and determined the characteristics that affect users' emotions, including the factor of social distancing measures. The results provide government agencies with better understanding of Internet users opinions on related events, and provide a reference point for social media platforms to push targeted content.

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“…The patient had normal performance on two tests of theory of mind, the faux-pas test from the Social and Emotional Assessment13 and the Theory of Mind - 15 (TOM-15), a false-belief test 14. The total score on the emotion recognition test15 was normal (28/35), but she had marked deficit in the recognition of fear (0 out 5).…”

Section: Case Reportmentioning

confidence: 99%

Behavioral variant of frontotemporal dementia or frontal variant of Alzheimer's disease? A case study

Souza

Mariano

Moraes³

et al. 2019

Dement. neuropsychol.

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Alzheimer's disease (AD) has heterogeneous clinical presentations. Amnestic progressive disorder leading to dementia is the most typical, but non-amnestic presentations are also recognized. Here we report a case of frontal variant of AD. A right-handed woman, aged 68 years, was referred for progressive behavioral disorders and personality changes. She had a corroborated history of dietary changes, hyperorality, impulsivity, affective indifference and apathy, with functional impairment. Cognitive assessment yielded severe executive deficits. Positron emission tomography with fluorodeoxyglucose showed marked hypometabolism in frontotemporal regions, with relative preservation of parietal regions. CSF AD biomarkers showed low Aβ42, high Tau and high P-Tau. The patient fulfilled criteria for probable behavioral variant frontotemporal dementia. However, considering the AD pathophysiological signature on CSF biomarkers, a diagnosis of frontal variant of AD was established. In the perspective of disease-modifying therapies, it is important to identify atypical Alzheimer presentations, as these patients may be candidates for specific treatments.

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The effects of gender, age, schooling, and cultural background on the identification of facial emotions: a transcultural study

Abstract: Data here provided may contribute to the interpretation of the results of FERT in different cultural contexts and highlight the common bias that should be corrected in the future tasks to be developed.

Cited by 31 publications

References 24 publications

Deficits in Emotion Recognition as Markers of Frontal Behavioral Dysfunction in Amyotrophic Lateral Sclerosis

Deficits in Emotion Recognition as Markers of Frontal Behavioral Dysfunction in Amyotrophic Lateral Sclerosis

Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data (Preprint)

Behavioral variant of frontotemporal dementia or frontal variant of Alzheimer's disease? A case study

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