Reviewbronze2018

Emotional expression in psychiatric conditions: New technology for clinicians

Karol Grabowski · Agnieszka Rynkiewicz · Amandine Lassalle · Simon Baron‐Cohen · Björn Wolfgang Schuller · Nicholas Cummins +4 more

78 citations0/0 files storedPsychiatry and Clinical Neurosciences

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Emotion and Mood Recognition Autism Spectrum Disorder Research Face Recognition and Perception

Abstract

AIM: Emotional expressions are one of the most widely studied topics in neuroscience, from both clinical and non-clinical perspectives. Atypical emotional expressions are seen in various psychiatric conditions, including schizophrenia, depression, and autism spectrum conditions. Understanding the basics of emotional expressions and recognition can be crucial for diagnostic and therapeutic procedures. Emotions can be expressed in the face, gesture, posture, voice, and behavior and affect physiological parameters, such as the heart rate or body temperature. With modern technology, clinicians can use a variety of tools ranging from sophisticated laboratory equipment to smartphones and web cameras. The aim of this paper is to review the currently used tools using modern technology and discuss their usefulness as well as possible future directions in emotional expression research and treatment strategies. METHODS: The authors conducted a literature review in the PubMed, EBSCO, and SCOPUS databases, using the following key words: 'emotions,' 'emotional expression,' 'affective computing,' and 'autism.' The most relevant and up-to-date publications were identified and discussed. Search results were supplemented by the authors' own research in the field of emotional expression. RESULTS: We present a critical review of the currently available technical diagnostic and therapeutic methods. The most important studies are summarized in a table. CONCLUSION: Most of the currently available methods have not been adequately validated in clinical settings. They may be a great help in everyday practice; however, they need further testing. Future directions in this field include more virtual-reality-based and interactive interventions, as well as development and improvement of humanoid robots.

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References

1872The expression of the emotions in man and animals.1971Constants across cultures in the face and emotion.1969Nonverbal Leakage and Clues to Deception †2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing 2017A review of affective computing: From unimodal analysis to multimodal fusion 2017Emotions Recognition Using EEG Signals: A Survey 1954Experimental psychology.1987The Social Construction of Emotions.

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