Artificial intelligence as therapeutic support

Two cameras record a psychotherapy session. (Image zvg)
Two cameras record a psychotherapy session. (Image zvg)
Two cameras record a psychotherapy session. (Image zvg) Artificial intelligence (AI) can reliably detect emotions based on facial expressions in psychotherapeutic situations. These are the findings of a feasibility study by researchers from the Faculty of Psychology and the University Psychiatric Clinics (UPK) at the University of Basel. The AI system is also able to reliably predict therapeutic success in patients with borderline personality pathology. The face is a mirror for a person's emotional state. The interpretation of facial expressions as part of psychotherapy or psychotherapeutic research, for example, is a very effective way of characterizing how a person is feeling in that particular moment. Back in the 1970s, psychologist Paul Ekmann developed a standardized coding system to assign basic emotions such as happiness, disgust or sadness to a facial expression in an image or video sequence.
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