Does It Pay to Treat Patients With Coronavirus Disease 2019? Social Perception of Physicians Treating Patients With Coronavirus Disease 2019

During the coronavirus disease 2019 (COVID-19) pandemic, the public has often expressed great appreciation toward medical personnel who were often shown in the media expressing strong emotions about the situation. To examine whether the perception of people on a physician is in fact influenced by whether the physician treats patients with COVID-19 and the emotions they expressed in response to the situation, 454 participants were recruited in May 2020. Participants saw facial expressions of anger, sadness, happiness, and neutrality which supposedly were shown by physicians who were presented as working either in COVID-19 wards or in an internal medicine ward. Participants rated how competent, empathetic, caring, and likable each physician was, to what degree they would wish to be treated by each physician, and what salary each physician deserved. Physicians treating patients with COVID-19 were seen more positively and as deserving higher pay; they appeared more competent, caring, likable, and were more likely to be chosen as a caregiver compared to physicians not treating patients with COVID-19. The expressed emotions of physicians had a strong impact on how they were perceived, yet this effect was largely unrelated to whether they treated patients with COVID-19 or not such that happy physicians seemed more empathetic, caring, and likable than the physicians who showed negative emotions. Positive regard toward physicians treating patients with COVID-19 was associated with the fact that they were seen as saving lives and not due to the risk imposed by their work.

Preferences in Between: Moderates in the Catalan Secessionist Conflict

Recent research on territorial preferences focuses on explaining who supports or opposes independence. However, this research overlooks the relevance of an “intermediate” category of citizens who may oppose the territorial status quo of a sub-state territory but not support independence. We use evidence from the critical case of Catalonia to illustrate the relevance of individuals with such preferences for policies and outcomes highly relevant to secessionist conflicts. We present four sets of findings using two-wave panel data from December 2017 (just prior to the December regional elections when Catalan independence was the most salient and contentious issue) and September 2018. First, we find that a sizable plurality within Catalonia supports greater autonomy short of independence; conventional sociodemographic variables explaining support for independence do not strongly account for this preference. Second, such pro-autonomy individuals have considerably more intermediate attitudes regarding the key “on the ground” actions that the Spanish and Catalan governments pursued during the crucial independence drive in 2017. They were more opposed than pro-independence individuals to the unilateral independence efforts, and more opposed than pro-status quo individuals to the Spanish government’s actions to counter these efforts. Third, they expressed emotions around the secessionist conflict similar to pro-status quo individuals. Finally, using an embedded survey experiment, we find that pro-autonomy individuals are more trusting of both the central and regional governments regarding their abiding by an agreement to resolve the conflict, and are less easily “polarized” through priming. Overall, these findings indicate the importance of further analyzing individuals with intermediate territorial views in secessionist conflicts.

Target-guided Emotion-aware Chat Machine

The consistency of a response to a given post at the semantic level and emotional level is essential for a dialogue system to deliver humanlike interactions. However, this challenge is not well addressed in the literature, since most of the approaches neglect the emotional information conveyed by a post while generating responses. This article addresses this problem and proposes a unified end-to-end neural architecture, which is capable of simultaneously encoding the semantics and the emotions in a post and leveraging target information to generate more intelligent responses with appropriately expressed emotions. Extensive experiments on real-world data demonstrate that the proposed method outperforms the state-of-the-art methods in terms of both content coherence and emotion appropriateness.

Age and Cultural Differences in Recognitions of Emotions from Masked Faces among Koreans and Americans

This study investigates age and cultural differences in the negative effects of senders’ wearing masks on receivers’ readabilities of senders’ facially expressed emotions in interpersonal interactions. An online experiment was thus conducted with Koreans and Americans aged over 20 years. Based on sampling quotas by nationality, age group and gender, Korean (n = 240) and American (n = 273) participants were recruited from panel members of a Korean research company and Amazon’s Mechanical Turk via email and the website, respectively. The participants played receiver roles to infer senders’ facially expressed emotions presented in photos in the experiment. They judged emotions facially expressed by the senders without masks and with masks are shown in photos. The results revealed that the senders’ wearing masks reduced the readabilities of the senders’ facially expressed anger among participants aged 30–49 years more than among participants aged 20–29 years. The senders’ wearing masks decreased the readabilities of the senders’ facially expressed fear for participants in their 50’s more than for participants in their 20’s. When the senders wore masks, the readabilities of the senders’ facially expressed happiness dropped among participants aged over 60 years more than among participants aged 20–49 years. When senders wore masks, American participants’ readabilities of disgust, fear, sadness and happiness expressed in the senders’ faces declined more than Korean participants’ readabilities of those emotions. The implications and limitations of these findings are discussed.

Expressed emotions and perceived stress among patients and caregivers of patients suffering from bipolar affective disorder

<p class="abstract"><strong>Background:</strong> Expressed emotions (EE) are the critical, hostile and emotionally over- involved attitude of relatives towards a family member who is suffering from a disorder. It is a measure of the expressed attitude of the relatives towards their psychological patient in their absence. As, in bipolar affective disorder (BPAD) alternating/recurring periods of depression and elevated mood occurs which leads to varied levels of stress and expressed emotions in the patient as well as their caregivers.</p><p class="abstract"><strong>Methods:</strong> An exploratory study was conducted in psychiatry ward and psychiatry outpatient department (OPD) of PGIMER, Chandigarh on BPAD patients and their caregivers (N=50 each) using purposive sampling technique. Data was collected in the month of March for 10 days. Interviews were conducted using the modified perceived stress scale by Sheldon Cohen and Hooley’s expressed emotions scale for assessing expressed emotions levels, respectively. </p><p class="abstract"><strong>Results:</strong> Data analysis done with the help of statistical package for the social sciences (SPSS) 22 version 16.0 through descriptive and inferential statistics. The study revealed that 64% of caregivers face criticism from their patients whereas 62% of patients receive criticism from their caregivers. The study also showed that 68% of caregivers were given emotional support by their patients. 66% of caregivers and patients, both displayed moderate level of perceived stress.</p><p class="abstract"><strong>Conclusions:</strong> It can be concluded that both EE and perceived stress are significant stressors for the BPAD patients and their caregivers.</p>

Overgeneralizing Emotions: Facial Width-To-Height Revisited

The study investigated facial attribution bias. Instead of asking participants to attribute character to faces, as usually done, we did the opposite: Participants were asked to generate the faces of specified characters, namely an aggressive/dominant male or the opposite (peaceful-submissive male). Participants used three methods: They generated free drawings, selected features from an assembly-kit, or edited facial photographs using PC software. We investigated facial width-to-height ratio in these generated portraits. We found that participants did not model static facial width to express character; instead they modelled expressed emotions, anger in particular. This reduced facial height, thereby increasing fWHR.

The Impact of Experienced and Expressed Emotion on Legal Factfinding

Judges and jurors are asked to comb through horrific evidence of accidents and crimes when choosing verdicts and punishment. These factfinders are likely to experience and express intense emotions as a result. A review of social, cognitive, moral, and legal psychological science illuminates how experienced and expressed emotions in legal settings can unconsciously bias even the most well-intentioned, diligent factfinder’s decision-making processes in prejudicial ways. Experiencing negative emotions creates motivation to blame and punish—instigating blame validation processes to justify guilty/liability verdicts and harsher punishments. The review also examines how emotion expression can impugn legal actors’ credibility when it violates factfinders’ (often unrealistic) expectations for appropriate emotion in legal contexts. It considers misguided and promising interventions to help factfinders regulate emotional responses, advocating limiting emotional evidence as much as possible and, when not possible, helping factfinders reframe how they think about it and remain aware of their potential biases.