scholarly journals Identifying emotional Facial Expressions in Practice: A Study on Medical Students

2020 ◽  
pp. 025371762093678
Author(s):  
Alapan Bandyopadhyay ◽  
Sarbari Sarkar ◽  
Abhijit Mukherjee ◽  
Sharmistha Bhattacherjee ◽  
Soumya Basu

Background: Successful identification of emotional expression in patients is of considerable importance in the diagnosis of diseases and while developing rapport between physicians and patients. Despite the importance of such skills, this aspect remains grossly overlooked in conventional medical training in India. This study aims to explore the extent to which medical students can identify emotions by observing photographs of male and female subjects expressing different facial expressions. Methods: A total of 106 medical students aged 18–25, without any diagnosed mental illnesses, were shown images of the six universal facial expressions (anger, sadness, fear, happiness, disgust, and surprise) at 100% intensity with an exposure time of 2 seconds for each image. The participants marked their responses after each image was shown. Collected data were analyzed using Statistical Package for the Social Sciences. Results: Participants could identify 76.54% of the emotions on average, with higher accuracy for positive emotions (95.6% for happiness) and lower for negative emotions (46% for fear). There were no significant variations in identification with respect to sex of the observers. However, it was seen that participants could identify emotions better from male faces than those from female faces, a finding that was statistically significant. Negative emotions were identified more accurately from male faces, while positive emotions were identified better from female ones. Conclusions: Male participants identified emotions better from male faces, while females identified positive emotions better from female faces and negative ones from male faces.

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Bandyopadhyay ◽  
S Sarkar ◽  
A Mukherjee

Abstract Background Successful identification of emotional expression in patients is of considerable importance in the diagnosis of diseases and while developing rapport between physicians and patients. Despite the importance of such skills, this aspect remains grossly overlooked in conventional medical training in India. This study aims to explore the extent to which medical students can identify emotions by observing photographs of male and female subjects expressing different facial expressions. Methods A total of 106 medical students aged 18-25 without any diagnosed mental illnesses were shown images of the six universal facial expressions (anger, sadness, fear, happiness, disgust and surprise) at 100% intensity with an exposure time of 2 seconds for each image. The participants marked their responses after each image was shown. Collected data were analyzed using SPSS. Results Participants could identify 76.54% of the emotions on average, with higher accuracy for positive emotions (95.6% for happiness) and lower for negative emotions (46% for fear). There were no significant variations in identification with respect to gender of observers. On the other hand, statistically significant differences were observed in identification when gender of the expressors were considered. Conclusions Male participants identified emotions better from male faces, while females identified positive emotions better from female faces and negative ones from male faces. Key messages Misidentification of emotions, especially negative emotions, from static facial expressions was common in physician students of both sexes. This is an aspect that needs to be addressed during the training of medical students in India.


Author(s):  
Soha Mohamed Ali, Elrasheed Ismaeil Eltahir Soha Mohamed Ali, Elrasheed Ismaeil Eltahir

This study addressed death anxiety among women with breast cancer at the National Center for Radiotherapy and Nuclear Medicine in Khartoum, in order to identify: differences in death anxiety among women with breast cancer according to the variable of performing mastectomy at the Center. Where They used the descriptive method with a sample size 35 women with breast cancer were chosen by the intentional method at the Center, they applied the death anxiety scale on the patients, the data was analysed statistically using statistical package for the social sciences (SPSS). They reached a number of conclusions and recommendation, including: The death anxiety among women with breast cancer at the Center is high, there are statistically significant differences between death anxiety among women with breast cancer at the Center according to the variable of performing mastectomy in favor of those who underwent a mastectomy. Guidance should be offered to the family and especially the husband to how to deal with his injured wife according to her stage and accept the apparent negative emotions and behaviors, and encourage her to express herself.


2007 ◽  
Vol 38 (10) ◽  
pp. 1475-1483 ◽  
Author(s):  
K. S. Kendler ◽  
L. J. Halberstadt ◽  
F. Butera ◽  
J. Myers ◽  
T. Bouchard ◽  
...  

BackgroundWhile the role of genetic factors in self-report measures of emotion has been frequently studied, we know little about the degree to which genetic factors influence emotional facial expressions.MethodTwenty-eight pairs of monozygotic (MZ) and dizygotic (DZ) twins from the Minnesota Study of Twins Reared Apart were shown three emotion-inducing films and their facial responses recorded. These recordings were blindly scored by trained raters. Ranked correlations between twins were calculated controlling for age and sex.ResultsTwin pairs were significantly correlated for facial expressions of general positive emotions, happiness, surprise and anger, but not for general negative emotions, sadness, or disgust or average emotional intensity. MZ pairs (n=18) were more correlated than DZ pairs (n=10) for most but not all emotional expressions.ConclusionsSince these twin pairs had minimal contact with each other prior to testing, these results support significant genetic effects on the facial display of at least some human emotions in response to standardized stimuli. The small sample size resulted in estimated twin correlations with very wide confidence intervals.


2006 ◽  
Vol 9 (3) ◽  
pp. 295-302 ◽  
Author(s):  
Daniel N. McIntosh ◽  
Aimee Reichmann-Decker ◽  
Piotr Winkielman ◽  
Julia L. Wilbarger

2021 ◽  
Author(s):  
Yongxuan Tan ◽  
Sibylle Rérolle ◽  
Thilina Dulantha Lalitharatne ◽  
Nejra Van Zalk ◽  
Rachael E. Jack ◽  
...  

Abstract Medical training simulators can provide a safe and controlled environment for medical students to practice their physical examination skills. Visual feedback of involuntary pain expressions in response to physical palpation on an affected area of a patient is an important source of information for physicians. However, most existing robotic medical training simulators that can capture physical examination behaviours in real-time cannot display facial expressions or comprise a limited range of patient identities in terms of ethnicity and gender. Together, these limitations restrict the utility of medical training simulators because they do not provide medical students with a representative diversity both of pain facial expressions and face identities, which could result in biased practice. Further, these limitations restrict the utility of such medical simulators to be used to detect and correct early signs of bias in medical training. Here, for the first time, we present a robotic system that can simulate facial expressions of pain in response to palpations, displayed on a range of patient face identities. We use the unique approach of modelling dynamic pain facial expressions using the data-driven psychophysical method of reverse correlation and incorporating the visuo-haptic interactions of users performing palpation to a robot medical simulator. Specifically, participants performed palpation actions on the abdomen phantom of simulated patients, which triggered the real-time display of 6 pain-related facial Action Units (AUs) on a robotic face (MorphFace), each controlled by two pseudo randomly generated transient parameters: rate of change β and activation delay τ. Participants then rated the appropriateness of the facial expression displayed in response to their palpations on a 4-point scale. Each participant (n = 16, 4 Asian female, 4 Asian male, 4 White female and 4 White male) performed 200 palpation trials on 4 patient identities (Black female, Black male, White female and White male) simulated using MorphFace. Results showed that a gradual decrease of β and increase of τ from upper face AUs (around the eyes) to those in the lower face (around the mouth) is rated to be appropriate by all participants. We found that transient parameter values that generated the appropriate pain facial expressions as rated by participants, palpation forces, and delays between palpation actions varied across gender and ethnicity of participant-simulated patient pairs. These findings suggest that gender and ethnicity biases affect the participants’ palpation strategies and their perception of the pain facial expressions displayed on MorphFace. We anticipate our approach could be utilised to generate physical examination models with diverse patient demographic groups to reduce erroneous judgments in medical students, and provide focused training to address these errors.


2015 ◽  
Vol Volume 3, Issue 2, Special... (Special Issue "the best...) ◽  
Author(s):  
Magalie Ochs ◽  
Yu Ding ◽  
Nesrine Fourati ◽  
Mathieu Chollet ◽  
Brian Ravenet ◽  
...  

International audience In this article, we propose an architecture of a socio-affective Embodied Conversational Agent (ECA). The different computational models of the architecture enable an ECA to express emotions and social attitudes during an interaction with a user. Based on corpora of actors expressing emotions, models have been defined to compute the emotional facial expressions of an ECA and the characteristics of its corporal movements. A user-perceptive approach has been used to design models to define how an ECA should adapt its non-verbal behavior according to the social attitude the ECA wants to display and the behavior of its interlocutor. The emotions and the social attitudes to express are computed by cognitive models presented in this article. Dans cet article, nous proposons une architecture d'un Agent Conversationnel Animé (ACA) socio-affectif. Les différents modèles computationnels sous-jacents à cette architecture, permettant de donner la capacité à un ACA d'exprimer des émotions et des attitudes sociales durant son interaction avec l'utilisateur, sont présentés. A partir de corpus d'individus exprimant des émotions, des modèles permettant de calculer l'expression faciale émotionnelle d'un ACA ainsi que les caractéristiques de ses mouvements du corps ont été définis. Fondés sur une approche centrée sur la perception de l'utilisateur, des modèles permettant de calculer comment un ACA doit adapter son comportement non-verbal suivant l'attitude sociale qu'il souhaite exprimer et suivant le comportement de son interlocuteur ont été construits. Le calcul des émotions et des attitudes sociales à exprimer est réalisé par des modèles cognitifs présentés dans cet article.


Author(s):  
Rosalynn Berti

The objective of this research was to expand our understanding of the lived experiences of refugee children arriving in Canada. For this study, I collected drawings from thirteen recently arrived refugee children living in a transitional house in downtown Ottawa, Ontario. The children were prompted to draw a picture of their experience of arriving in Canada. Nine of the thirteen drawings portrayed a narrative of journey through the drawing of flags and various forms of transportation. Five of the children included a drawing of themselves, their facial expressions conveying how they felt about arriving in Canada. Six of the drawings portrayed positive emotions, the children expressing thankfulness or eagerness to be in Canada. Four of the drawings did not present a clearly distinguishable tone, suggesting neutrality or avoidance of the task. Three of the drawings portrayed negative emotions, including fear and grief. These drawings demonstrate that the experience of arriving in Canada is complex, not easily simplified to broad generalizations. The participants told unique stories and expressed an array of emotions ranging from excitement to grief, justifying an approach focused on the individual lived experiences. This research project provided space for thirteen children to tell their stories, stepping out from behind the veil of statistics-directed, adult-directed, or outsider-directed narratives and personalizing the refugee resettlement process.


Author(s):  
Quentin Hallez ◽  
Nicolas Baltenneck ◽  
Anna-Rita Galiano

Abstract. This paper examines how dogs can modulate the effects of emotion on time perception. To this end, participants performed a temporal bisection task with stimulus durations presented in the form of neutral or emotional facial expressions (angry, sad, and happy faces). In the first experiment, dog owners were compared with nondog owners, while in the second experiment, students were randomly assigned to one of the three waiting groups (waiting alone, with another person, or with a dog) before being confronted with the temporal bisection task. The results showed that dogs allowed the participants to regulate the intensity of negative emotional effects, while no statistical differences emerged for the happy facial expressions. In certain circumstances, dogs could even lead the subjects to generate underestimation of time when faced with negative facial expressions.


2021 ◽  
Author(s):  
Evrim Gulbetekin

Abstract This investigation used three experiments to test the effect of mask use and other-race effect (ORE) on face perception in three contexts: (a) face recognition, (b) recognition of facial expressions, and (c) social distance. The first, which involved a matching-to-sample paradigm, tested Caucasian subjects with either masked or unmasked faces using Caucasian and Asian samples. The participants exhibited the best performance in recognizing an unmasked face condition and the poorest when asked to recognize a masked face that they had seen earlier without a mask. Accuracy was also poorer for Asian faces than Caucasian faces. The second experiment presented Asian or Caucasian faces having different emotional expressions, with and without masks. The results for this task, which involved identifying which emotional expression the participants had seen on the presented face, indicated that emotion recognition performance decreased for faces portrayed with masks. The emotional expressions ranged from the most accurately to least accurately recognized as follows: happy, neutral, disgusted, and fearful. Emotion recognition performance was poorer for Asian stimuli compared to Caucasian. Experiment 3 used the same participants and stimuli and asked participants to indicate the social distance they would prefer to observe with each pictured person. The participants preferred a wider social distance with unmasked faces compared to masked faces. Social distance also varied by the portrayed emotion: ranging from farther to closer as follows: disgusted, fearful, neutral, and happy. Race was also a factor; participants preferred wider social distance for Asian compared to Caucasian faces. Altogether, our findings indicated that during the COVID-19 pandemic face perception and social distance were affected by mask use, ORE.


2021 ◽  
Vol 36 (5) ◽  
pp. 107-128
Author(s):  
Hanna Mamzer

The relationship between the homeless and their animals is treated as marginal, as an issue of little social importance. The most probable cause are “common sense” approaches that focus on the more urgent challenges that need to be addressed to increase the well-being of the homeless such as providing health care, financial support and employment. Contrary to these needs, relations with animals appear as a kind of a whim that creates problems and is not crucial. Indeed, in the social sciences in general, the value of human and animal companionship, as an important source of positive emotions, is being increasingly analysed. The role of animals in human societies increases as social consciousness changes. The role of animals in the lives of socially marginalized people is still being questioned. In this work I identify the emotional significance of the relationship with animals for the homeless people.


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