scholarly journals Veracity judgement, not accuracy: Reconsidering the role of facial expressions, empathy, and emotion recognition training on deception detection

2020 ◽  
pp. 174702182097885
Author(s):  
Mircea Zloteanu ◽  
Peter Bull ◽  
Eva G Krumhuber ◽  
Daniel C Richardson
Keyword(s):  
Emotion Recognition ◽  
Deception Detection ◽  
Diagnostic Value ◽  
Emotional Information ◽  
Emotional Cues ◽  
Recognition Ability ◽  
Cue Recognition ◽  
Emotion Recognition Ability ◽  
Emotion Recognition Training

People hold strong beliefs about the role of emotional cues in detecting deception. While research on the diagnostic value of such cues has been mixed, their influence on human veracity judgements is yet to be fully explored. Here, we address the relationship between emotional information and veracity judgements. In Study 1, the role of emotion recognition in the process of detecting naturalistic lies was investigated. Decoders’ veracity judgements were compared based on differences in trait empathy and their ability to recognise microexpressions and subtle expressions. Accuracy was found to be unrelated to facial cue recognition and negatively related to empathy. In Study 2, we manipulated decoders’ emotion recognition ability and the type of lies they saw: experiential or affective (emotional and unemotional). Decoders received either emotion recognition training, bogus training, or no training. In all scenarios, training did not affect veracity judgements. Experiential lies were easier to detect than affective lies; however, affective unemotional lies were overall the hardest to judge. The findings illustrate the complex relationship between emotion recognition and veracity judgements, with abilities for facial cue detection being high yet unrelated to deception accuracy.

scholarly journals Emotion recognition and deception detection

2019 ◽  
Author(s):  
Mircea Zloteanu
Keyword(s):  
Emotion Recognition ◽  
Deception Detection ◽  
Diagnostic Value ◽  
Emotional Information ◽  
Emotional Cues ◽  
Recognition Ability ◽  
Cue Recognition ◽  
Emotion Recognition Ability ◽  
Emotion Recognition Training

People hold strong beliefs regarding the role of emotional cues in detecting deception. While research on the diagnostic value of such cues has been mixed, their influence on human veracity judgments should not be ignored. Here, we address the relationship between emotional information and veracity judgments. In Study 1, the role of emotion recognition in the process of detecting naturalistic lies was investigated. Decoders’ accuracy was compared based on differences in trait empathy and their ability to recognize microexpressions and subtle expressions. Accuracy was found to be unrelated to facial cue recognition but negatively related to empathy. In Study 2, we manipulated decoders’ emotion recognition ability and the type of lies they saw: experiential or affective. Decoders either received emotion recognition training, bogus training, or no training. In all scenarios, training was not found to impact on accuracy. Experiential lies were easier to detect than affective lies, but, affective emotional lies were easier to detect than affective unemotional lies. The findings suggest that emotion recognition has a complex relationship with veracity judgments.

Sex differences in emotion recognition ability: The mediating role of trait emotional awareness

2017 ◽  
Vol 42 (1) ◽  
pp. 149-160 ◽  
Author(s):  
Ron Wright ◽  
Robert Riedel ◽  
Lee Sechrest ◽  
Richard D. Lane ◽  
Ryan Smith
Keyword(s):  
Sex Differences ◽  
Emotion Recognition ◽  
Emotional Awareness ◽  
Mediating Role ◽  
Recognition Ability ◽  
Emotion Recognition Ability

scholarly journals The effects of emotion recognition training on interpersonal effectiveness

2019 ◽  
Author(s):  
Katja Schlegel ◽  
Judith A. Hall
Keyword(s):  
Social Interactions ◽  
Emotion Recognition ◽  
Close Relationships ◽  
Training Programs ◽  
Face To Face ◽  
Interpersonal Effectiveness ◽  
Recognition Ability ◽  
Emotion Recognition Ability ◽  
Work Education ◽  
Emotion Recognition Training

Being accurate in recognizing others’ emotions from nonverbal cues has been shown to correlate with a variety of positive social outcomes. Several training programs to enhance emotion recognition ability have been developed; however, no study to date has examined whether such programs affect behaviors and outcomes in face-to-face social interactions. In the present study, dyads of same-gender students were randomly assigned to complete either a self-administered brief emotion recognition training or a control training about cloud types. All dyads then engaged in an employee-recruiter negotiation. Results showed that dyads trained in emotion recognition reached more egalitarian economic outcomes, rated themselves and their partners as less competitive after the negotiation, and received higher ratings of positive affect from independent observers. These findings open up the potential for various applications in the context of work, education, and close relationships.

scholarly journals Measuring the effects of alexithymia on perception of emotional vocalizations in autistic spectrum disorder and typical development

2012 ◽  
Vol 42 (11) ◽  
pp. 2453-2459 ◽  
Author(s):  
P. Heaton ◽  
L. Reichenbacher ◽  
D. Sauter ◽  
R. Allen ◽  
S. Scott ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Control Group ◽  
Emotional Cues ◽  
Personal Experiences ◽  
Recognition Ability ◽  
Emotion Recognition Ability ◽  
And Performance ◽  
Adults With Asd

BackgroundThe results from recent studies suggest that alexithymia, a disorder characterized by impairments in understanding personal experiences of emotion, is frequently co-morbid with autism spectrum disorder (ASD). However, the extent that alexithymia is associated with primary deficits in recognizing external emotional cues, characteristic in ASD, has yet to be determined.MethodTwenty high-functioning adults with ASD and 20 age- and intelligence-matched typical controls categorized vocal and verbal expressions of emotion and completed an alexithymia assessment.ResultsEmotion recognition scores in the ASD group were significantly poorer than in the control group and performance was influenced by the severity of alexithymia and the psycho-acoustic complexity of the presented stimuli. For controls, the effect of complexity was significantly smaller than for the ASD group, although the association between total emotion recognition scores and alexithymia was still strong.ConclusionsHigher levels of alexithymia in the ASD group accounted for some, but not all, of the group difference in emotion recognition ability. However, alexithymia was insufficient to explain the different sensitivities of the two groups to the effects of psycho-acoustic complexity on performance. The results showing strong associations between emotion recognition and alexithymia scores in controls suggest a potential explanation for variability in emotion recognition in non-clinical populations.

scholarly journals Facial emotion recognition ability: psychiatry nurses versus nurses from other departments

2016 ◽  
Vol 39 (6) ◽  
pp. 61
Author(s):  
Gozde Gultekin ◽  
Zeliha Kincir ◽  
Merve Kurt ◽  
Yasir Catal ◽  
Asli Acil ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Cross Sectional Study ◽  
Basic Element ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Cross Sectional ◽  
Emotional Cues ◽  
Recognition Ability ◽  
Emotion Recognition Ability ◽  
Accuracy Rates

Purpose: Facial emotion recognition is a basic element in non-verbal communication. Although some researchers have shown that recognizing facial expressions may be important in the interaction between doctors and patients, there are no studies concerning facial emotion recognition in nurses. Here, we aimed to investigate facial emotion recognition ability in nurses and compare the abilities between nurses from psychiatry and other departments. Methods: In this cross-sectional study, sixty seven nurses were divided into two groups according to their departments: psychiatry (n=31); and, other departments (n=36). A Facial Emotion Recognition Test, constructed from a set of photographs from Ekman and Friesen's book “Pictures of Facial Affect”, was administered to all participants. Results: In whole group, the highest mean accuracy rate of recognizing facial emotion was the happy (99.14%) while the lowest accurately recognized facial expression was fear (47.71%). There were no significant differences between two groups among mean accuracy rates in recognizing happy, sad, fear, angry, surprised facial emotion expressions (for all, p>0.05). The ability of recognizing disgusted and neutral facial emotions tended to be better in other nurses than psychiatry nurses (p=0.052 and p=0.053, respectively) Conclusion: This study was the first that revealed indifference in the ability of FER between psychiatry nurses and non-psychiatry nurses. In medical education curricula throughout the world, no specific training program is scheduled for recognizing emotional cues of patients. We considered that improving the ability of recognizing facial emotion expression in medical stuff might be beneficial in reducing inappropriate patient-medical stuff interaction.

Facial Emotion Recognition Ability in Psychiatrists, Psychologist and Psychological Counselors

2017 ◽  
Vol 41 (S1) ◽  
pp. S157-S157
Author(s):  
M. Dalkiran ◽  
E. Yuksek ◽  
O. Karamustafalioglu
Keyword(s):  
Emotion Recognition ◽  
Recognition Test ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Specific Training ◽  
Emotional Cues ◽  
Demographic Questionnaire ◽  
Recognition Ability ◽  
Emotion Recognition Ability

ObjectivesAlthough, emotional cues like facial emotion expressions seem to be important in social interaction, there is limited specific training about emotional cues for psychology professions.AimsHere, we aimed to evaluate psychologist’, psychological counselors’ and psychiatrists’ ability of facial emotion recognition and compare these groups.MethodsOne hundred and forty-one master degree students of clinical psychology and 105 psychiatrists who identified themselves as psychopharmacologists were asked to perform facial emotion recognition test after filling out socio-demographic questionnaire. The facial emotion recognition test was constructed by using a set of photographs (happy, sad, fearful, angry, surprised, disgusted, and neutral faces) from Ekman and Friesen's.ResultsPsychologists were significantly better in recognizing sad facial emotion than psychopharmacologists (6.23 ± 1.08 vs 5.80 ± 1.34 and P = 0.041). Psychological counselors were significantly better in recognizing sad facial emotion than psychopharmacologists (6.24 ± 1.01 vs 5.80 ± 1.34 and P = 0.054). Psychologists were significantly better in recognizing angry facial emotion than psychopharmacologists (6.54 ± 0.73 vs 6.08 ± 1.06 and P = 0.002). Psychological counselors were significantly better in recognizing angry facial emotion than psychopharmacologists (6.48 ± 0.73 vs 6.08 ± 1.06 and P = 0.14).ConclusionWe have revealed that the pyschologist and psychological counselors were more accurate in recognizing sad and angry facial emotions than psychopharmacologists. We considered that more accurate recognition of emotional cues may have important influences on patient doctor relationship. It would be valuable to investigate how these differences or training the ability of facial emotion recognition would affect the quality of patient–clinician interaction.

scholarly journals Attachment Representation and Emotion Recognition Ability in Children with ADHD and Their Parents: A Study Protocol

2021 ◽  
Vol 18 (5) ◽  
pp. 2277
Author(s):  
Ruediger Kissgen ◽  
Sebastian Franke ◽  
Moritz Susewind ◽  
Maya Krischer
Keyword(s):  
Emotion Recognition ◽  
Clinical Sample ◽  
Disorganized Attachment ◽  
Control Group ◽  
Cross Sectional ◽  
Children With Adhd ◽  
Adhd Diagnosis ◽  
Attachment Research ◽  
Recognition Ability ◽  
Emotion Recognition Ability

Background: Few studies in clinical attachment research to date have examined children with an attention-deficit/hyperactivity disorder (ADHD) diagnosis. This is surprising for two reasons: first, there are a number of parallels between the behaviors of children with an insecure and disorganized attachment and the behaviors of children with an ADHD diagnosis. Second, secure attachment has a positive effect on the development of skills in areas in which children with ADHD demonstrate problems (e.g., attention span, impulse control). There are currently no findings on whether or not and how insecure and disorganized attachment and ADHD affect children’s emotion recognition ability. Methods: This is a cross-sectional study, part exploratory and part hypothesis-driven in the context of basic research. A clinical sample of 5- to 10-year-old children with an ADHD diagnosis and their parents is to be compared to a non-clinical unaffected control group. Over a period of 3 years, 80 subjects and their parents are to be recruited in each group for participation in the study. Discussion: This study is the first to examine links between attachment, emotion recognition ability, and ADHD. It is also the first to include not just children with ADHD but also their mothers and fathers in its design. The findings should help reduce the research gap and generate more knowledge for family interventions in the case of ADHD.

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