In the mood to be social: Affective state influences facial emotion recognition in healthy adults.

Manierka, Marena S; Rezaei, Rachel; Palacios, Samantha; Haigh, Sarah M.; Hutsler, Jeffrey J.

doi:10.1037/emo0000999

Cited by 4 publications

(2 citation statements)

References 30 publications

(35 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Linear regression analyses were conducted to test for the influence of age, gender and state affectivity on ERA. Research shows that age and gender can influence ERA (see, e.g ., Cortes et al, 2021 ; Thompson & Voyer, 2014 ) and that even affective state can bias ERA, albeit the results in this field are somewhat contradictory (see, e.g ., Manierka et al, 2021 ; Schmid & Mast, 2010 ). For calculating internal consistency values of the measures, we used Kuder Richardson Formula 20 for dichotomous data (KR-20; Kuder & Richardson, 1937 ) for the ERA measures and Cronbach’s alpha for the questionnaires.…”

Section: Methodsmentioning

confidence: 99%

Trainee psychotherapists’ emotion recognition accuracy during 1.5 years of psychotherapy education compared to a control group: no improvement after psychotherapy training

Döllinger,

Letellier,

Högman

et al. 2023

PeerJ

View full text Add to dashboard Cite

The ability to recognize and work with patients’ emotions is considered an important part of most psychotherapy approaches. Surprisingly, there is little systematic research on psychotherapists’ ability to recognize other people’s emotional expressions. In this study, we compared trainee psychotherapists’ nonverbal emotion recognition accuracy to a control group of undergraduate students at two time points: at the beginning and at the end of one and a half years of theoretical and practical psychotherapy training. Emotion recognition accuracy (ERA) was assessed using two standardized computer tasks, one for recognition of dynamic multimodal (facial, bodily, vocal) expressions and one for recognition of facial micro expressions. Initially, 154 participants enrolled in the study, 72 also took part in the follow-up. The trainee psychotherapists were moderately better at recognizing multimodal expressions, and slightly better at recognizing facial micro expressions, than the control group at the first test occasion. However, mixed multilevel modeling indicated that the ERA change trajectories for the two groups differed significantly. While the control group improved in their ability to recognize multimodal emotional expressions from pretest to follow-up, the trainee psychotherapists did not. Both groups improved their micro expression recognition accuracy, but the slope for the control group was significantly steeper than the trainee psychotherapists’. These results suggest that psychotherapy education and clinical training do not always contribute to improved emotion recognition accuracy beyond what could be expected due to time or other factors. Possible reasons for that finding as well as implications for the psychotherapy education are discussed.

show abstract

Section: Methodsmentioning

confidence: 99%

Trainee psychotherapists’ emotion recognition accuracy during 1.5 years of psychotherapy education compared to a control group: no improvement after psychotherapy training

Döllinger,

Letellier,

Högman

et al. 2023

PeerJ

View full text Add to dashboard Cite

show abstract

“…Therefore, we also explored the influence of age and gender on ERA. Some research suggests that affective state can lead to bias in the perception of emotional expressions (e.g., emotion congruent or emotion incongruent emotional expressions are recognized more accurately), even if the results are somewhat contradictory (see, e.g., Schmid and Mast, 2010;Manierka et al, 2021). Thus, we also explored the influence of affective state on ERA.…”

Section: Hypotheses and Explorationmentioning

confidence: 99%

Trainee psychotherapists’ emotion recognition accuracy improves after training: emotion recognition training as a tool for psychotherapy education

et al. 2023

View full text Add to dashboard Cite

IntroductionPsychotherapists’ emotional and empathic competencies have a positive influence on psychotherapy outcome and alliance. However, it is doubtful whether psychotherapy education in itself leads to improvements in trainee psychotherapists’ emotion recognition accuracy (ERA), which is an essential part of these competencies.MethodsIn a randomized, controlled, double-blind study (N = 68), we trained trainee psychotherapists (57% psychodynamic therapy and 43% cognitive behavioral therapy) to detect non-verbal emotional expressions in others using standardized computerized trainings – one for multimodal emotion recognition accuracy and one for micro expression recognition accuracy – and compared their results to an active control group one week after the training (n = 60) and at the one-year follow up (n = 55). The participants trained once weekly during a three-week period. As outcome measures, we used a multimodal emotion recognition accuracy task, a micro expression recognition accuracy task and an emotion recognition accuracy task for verbal and non-verbal (combined) emotional expressions in medical settings.ResultsThe results of mixed multilevel analyses suggest that the multimodal emotion recognition accuracy training led to significantly steeper increases than the other two conditions from pretest to the posttest one week after the last training session. When comparing the pretest to follow-up differences in slopes, the superiority of the multimodal training group was still detectable in the unimodal audio modality and the unimodal video modality (in comparison to the control training group), but not when considering the multimodal audio-video modality or the total score of the multimodal emotion recognition accuracy measure. The micro expression training group showed a significantly steeper change trajectory from pretest to posttest compared to the control training group, but not compared to the multimodal training group. However, the effect vanished again until the one-year follow-up. There were no differences in change trajectories for the outcome measure about emotion recognition accuracy in medical settings.DiscussionWe conclude that trainee psychotherapists’ emotion recognition accuracy can be effectively trained, especially multimodal emotion recognition accuracy, and suggest that the changes in unimodal emotion recognition accuracy (audio-only and video-only) are long-lasting. Implications of these findings for the psychotherapy education are discussed.

show abstract

Relevance of pre-stimulus oscillatory activity for the perceived valence of emotional facial expressions

Jaap,

Rose

2024

Sci Rep

View full text Add to dashboard Cite

The interpretation of emotional facial expressions is crucial in everyday social interactions, and rapid processing of these expressions is necessary. Although extensive research has shed light on the mechanisms involved in facial expression processing, there is limited research on the potential role of the state of neural activity that directly precedes the occurrence of a face. Here, we investigated the potential modulatory role of pre-stimulus oscillatory activity in emotional facial expression processing. We tested emotional facial processing in two experiments, one utilizing artificial and the other natural facial expressions. The participants had to evaluate the emotional valence of the presented ambiguous facial expressions. In a univariate analysis, differences in the oscillation activity of the later rated valence of the faces were observed in both experiments, and these differences were observed even before the presentation of the facial expressions. Importantly, two different multivariate approaches directly supported the relevance of pre-stimulus oscillatory activity by exclusively using pre-stimulus oscillatory data to predict the perceived valence of the latter rated facial expression across the two experiments within as well as across subjects. The behavioral data shows the often observed negativity bias, i.e. ambiguous faces resulted in the tendency to rate them as negative. This negativity bias was related to neural activity modulations in the pre-stimulus period and also within post-stimulus processing related activity. These findings underscore the significance of pre-stimulus oscillatory activity in facial expression processing, indicating a functional role of ongoing neural states that affects the processing of facial expressions and constitute a basis for the well described negativity bias.

show abstract

In the mood to be social: Affective state influences facial emotion recognition in healthy adults.

Cited by 4 publications

References 30 publications

Trainee psychotherapists’ emotion recognition accuracy during 1.5 years of psychotherapy education compared to a control group: no improvement after psychotherapy training

Trainee psychotherapists’ emotion recognition accuracy during 1.5 years of psychotherapy education compared to a control group: no improvement after psychotherapy training

Trainee psychotherapists’ emotion recognition accuracy improves after training: emotion recognition training as a tool for psychotherapy education

Relevance of pre-stimulus oscillatory activity for the perceived valence of emotional facial expressions

Contact Info

Product

Resources

About