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Training Emotion Recognition Accuracy: Results for Multimodal Expressions and Facial Micro Expressions
Stockholm University, Faculty of Social Sciences, Department of Psychology, Clinical psychology.
Stockholm University, Faculty of Social Sciences, Department of Psychology, Perception and psychophysics.ORCID iD: 0000-0001-8771-6818
Stockholm University, Faculty of Social Sciences, Department of Psychology, Biological psychology.ORCID iD: 0000-0002-2598-171X
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2021 (English)In: Frontiers in Psychology, E-ISSN 1664-1078, Vol. 12, article id 708867Article in journal (Refereed) Published
Abstract [en]

Nonverbal emotion recognition accuracy (ERA) is a central feature of successful communication and interaction, and is of importance for many professions. We developed and evaluated two ERA training programs—one focusing on dynamic multimodal expressions (audio, video, audio-video) and one focusing on facial micro expressions. Sixty-seven subjects were randomized to one of two experimental groups (multimodal, micro expression) or an active control group (emotional working memory task). Participants trained once weekly with a brief computerized training program for three consecutive weeks. Pre-post outcome measures consisted of a multimodal ERA task, a micro expression recognition task, and a task about patients' emotional cues. Post measurement took place approximately a week after the last training session. Non-parametric mixed analyses of variance using the Aligned Rank Transform were used to evaluate the effectiveness of the training programs. Results showed that multimodal training was significantly more effective in improving multimodal ERA compared to micro expression training or the control training; and the micro expression training was significantly more effective in improving micro expression ERA compared to the other two training conditions. Both pre-post effects can be interpreted as large. No group differences were found for the outcome measure about recognizing patients' emotion cues. There were no transfer effects of the training programs, meaning that participants only improved significantly for the specific facet of ERA that they had trained on. Further, low baseline ERA was associated with larger ERA improvements. Results are discussed with regard to methodological and conceptual aspects, and practical implications and future directions are explored.

Place, publisher, year, edition, pages
2021. Vol. 12, article id 708867
Keywords [en]
emotion recognition, emotion recognition training, multimodal emotion recognition, micro expression recognition, nonverbal communication
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-195344DOI: 10.3389/fpsyg.2021.708867ISI: 000691407500001OAI: oai:DiVA.org:su-195344DiVA, id: diva2:1584507
Note

The study was financed by a research grant by the Marcus and Amalia Wallenberg Foundation (Marcus och Amalia Wallenbergs Minnesfond; grant no. MAW 2013.0130). The foundation did not influence the study design, conduction or results in any way. The fees for open access publication were provided by Stockholm University.

Available from: 2021-08-12 Created: 2021-08-12 Last updated: 2023-09-14Bibliographically approved
In thesis
1. I know how you feel: Emotion recognition accuracy and training in psychotherapy education
Open this publication in new window or tab >>I know how you feel: Emotion recognition accuracy and training in psychotherapy education
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Researchers, practitioners and legislators agree that it is important to understand which kinds of psychotherapeutic treatments lead to lasting positive changes in patients’ well-being, how those treatments can be administered in efficient ways and how it can be determined which patients would benefit from which treatment. In recent years, there has also been growing interest in those who practice psychotherapy; specifically, in the socio-emotional and interpersonal characteristics and competencies that psychotherapists should possess to provide high quality treatments for a variety of patients, irrespective of psychotherapy approach. This thesis studies one such important psychotherapist competency, namely the ability to recognize non-verbal emotional expressions in others. Psychotherapists need to be able to help patients experience, understand and express their emotions, and, in this context, it is crucial that they themselves have good socio-emotional competencies, like emotion recognition accuracy. Still, there is surprisingly little research about psychotherapists’ emotion recognition accuracy and about how they could be supported in improving this ability in the course of their education. 

Study I explores trainee psychotherapists’ emotion recognition accuracy in the beginning and in the end of theoretical and practical psychotherapy education, and compares it to a control group of undergraduate students. The results reveal that trainee psychotherapists in the beginning of their education show superior emotion recognition accuracy for multimodal (audio, video, audio-video) emotional expressions and micro expressions (<200ms) compared to the control group. This suggests that those who choose to become psychotherapists might already possess elevated emotion recognition accuracy or might have developed it early on during their studies. However, after one and a half years of education, their multimodal and micro expression emotion recognition accuracy does not improve significantly more than the control groups’ accuracy. This suggests that standard (psychodynamic and cognitive behavioral) psychotherapy education does not automatically lead to improved emotion recognition accuracy, even though the trainees learn how to conduct psychotherapy and also treat their first patients at the university clinic. Or, alternatively, that the socio-emotional competencies that develop during the education might not be captured by the standardized computerized emotion recognition accuracy tasks used in this study. Nonetheless, this finding might also suggest that more explicit training of emotion recognition accuracy is needed. Study II then investigates two newly developed standardized computerized emotion recognition accuracy trainings, one for multimodal emotion recognition accuracy and one for micro expression recognition accuracy. The trainings are evaluated in a sample of undergraduate students using a mixed design. The trainings are compared to one another and to an active control training. Both trainings are found to significantly improve the participants’ emotion recognition accuracy in a one-week posttest. Study III extends those findings using a sample of trainee psychotherapists. Also in the target population, both trainings are found to be effective in the one-week posttest. In addition to that, the multimodal training shows effects for unimodal emotion recognition accuracy for audio-only and video-only stimuli in the one-year follow-up towards the end of psychotherapy education. This indicates that standardized computerized emotion recognition accuracy training can be used as a tool for improving trainee psychotherapists’ emotion recognition accuracy, even though additional interventions might be needed for securing long-term success for all facets of emotion recognition. Future research should explore the practical impact of trainee psychotherapists’ emotion recognition accuracy and the training of this ability. 

The findings of this thesis are, on the one hand, surprising, in so far as psychotherapy education likely does not lead to improvements in trainee psychotherapists’ emotion recognition accuracy. On the other hand, they are encouraging, because they suggest that this ability can be trained with relatively simple and resource-efficient methods. Emotion recognition accuracy training could become part of standard or individualized psychotherapy training, alongside the training of other relevant verbal and non-verbal socio-emotional and interpersonal psychotherapist competencies.

Place, publisher, year, edition, pages
Department of Psychology, Stockholm University, 2023. p. 88
Keywords
emotion recognition accuracy, psychotherapy education, trainee psychotherapists, psychotherapist competencies, psychotherapist characteristics, emotion recognition accuracy training, multimodal emotion recognition, micro expressions, psychodynamic psychotherapy, cognitive behavioral therapy
National Category
Psychology (excluding Applied Psychology)
Research subject
Psychology
Identifiers
urn:nbn:se:su:diva-221023 (URN)978-91-8014-506-0 (ISBN)978-91-8014-507-7 (ISBN)
Public defence
2023-10-27, hörsal 4, hus 2, Albano, Albanovägen 18, Stockholm, 10:00 (English)
Opponent
Supervisors
Projects
Improving psychotherapeutic competences using perceptual socio-emotional training proceduresThe role of perception of emotions and affects in psychotherapy
Funder
Marcus and Amalia Wallenberg Foundation, MAW 2013.0130Forte, Swedish Research Council for Health, Working Life and Welfare, 2013-02727
Available from: 2023-10-04 Created: 2023-09-14 Last updated: 2024-02-01Bibliographically approved

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Döllinger, LillianLaukka, PetriHögman, Lennart BjörnFischer, HåkanHau, Stephan

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