Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Apr 13, 2021
Date Accepted: Dec 28, 2021
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How could research on artificial empathy be enhanced by applying deepfakes?
ABSTRACT
We propose the idea of using an open dataset of doctor-patient interactions to develop artificial empathy based on facial emotion recognition. Facial emotion recognition allows a doctor to analyze patient emotions so they can reach out the patient through empathic care. However, face recognition datasets are often difficult to acquire so many researchers struggle with small sample sizes of facial recognition datasets. Meanwhile, sharing medical images or videos has not been possible as it may violate patient privacy. Deepfakes technology shows a promising approach to de-identify video recording of patients’ clinical encounters. It can revolutionize the implementation of facial emotion recognition by replacing a patient's face and manipulating it into an unrecognizable person's image or video that has a similar facial expression appearance. This technology will further enhance the potential use of artificial empathy in helping the doctor provide empathic care to achieve good doctor-patient therapeutic relationships. Thus, it may result in better patient satisfaction and adherence.
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