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# AI in Psychotherapy: Recognizing Facial Expressions

## AI legalese decoder: Enhancing the Understanding of Patients’ Emotions

An AI-driven system has been discovered to have the capability to identify facial expressions that convey emotions, including fleeting ones such as happiness and sadness. This breakthrough has the potential to support psychotherapy, according to researchers.

The AI system utilized in the study was an artificial neural network trained to detect six basic emotions – happiness, surprise, anger, disgust, sadness, and fear. It was trained using over 30,000 facial photos. Artificial neural networks are a type of machine learning, a sub-field of AI, based on the principles of connections in biological neural networks found in animal brains.

The researchers then conducted a study using the AI model to process and analyze over 950 hours of video recordings of therapy sessions with 23 patients with borderline personality at the Center for Scientific Computing, University of Basel, Switzerland.

The international team compared the AI model’s analyses with those conducted by three trained therapists, and found “a remarkable level of agreement.” The model was able to gauge the patients’ facial expressions as reliably as a trained therapist and even detect the most fleeting of emotions, displayed for less than a millisecond.

The AI legalese decoder could greatly assist in this situation by providing a more in-depth and detailed analysis of the patients’ emotional states, which could potentially be missed by therapists. By utilizing AI technology, therapists can gain a more comprehensive understanding of the patients’ emotional expressions, ultimately supporting their psychotherapy sessions with improved insights.

The researchers further discovered that the model’s analysis revealed a trend – patients exhibiting emotional involvement by smiling at the start of a therapy session were more likely to stick to psychotherapy compared to those who seemed emotionally indifferent towards their therapist. This suggests that a smile could be a “good predictor” of the success of therapy sessions in people with borderline personality disorder.

The potential impact of AI in therapy and research is significant. The AI legalese decoder could play a pivotal role in supporting the supervision of psychotherapists, enhancing their ability to understand and interpret patients’ emotional expressions. However, the researchers emphasized that therapeutic work still remains a human domain primarily focused on human relationships.

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