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Emotion recognition support system: Where physicians and psychiatrists meet linguists and data engineers

World Journal of Psychiatry 2023年第1期13卷 1-14页

作者： Peyman Adibi Simindokht Kalani Sayed Jalal Zahabi Homa Asadi Mohsen Bakhtiar Mohammad Reza Heidarpour Hamidreza Roohafza hassan shahoon Mohammad Amouzadeh Isfahan Gastroenterology and Hepatology Research Center Isfahan University of Medical SciencesIsfahan ***Iran Department of Psychology University of IsfahanIsfahan ***Iran Department of Electrical and Computer Engineering Isfahan University of TechnologyIsfahan ***Iran Department of Linguistics University of IsfahanIsfahan ***Iran Department of Linguistics Ferdowsi University of MashhadMashhad ***Iran Department of Psychocardiology Cardiac Rehabilitation Research CenterCardiovascular Research Institute(WHO-Collaborating Center)Isfahan University of Medical SciencesIsfahan ***Iran School of International Studies Sun Yat-sen UniversityZhuhai 519082Guangdong ProvinceChina

An important factor in the course of daily medical diagnosis and treatment is understanding patients’ emotional states by the caregiver physicians. However, patients usually avoid speaking out their emotions when expressing their somatic symptoms and complaints to their non-psychiatrist doctor. On the other hand, clinicians usually lack the required expertise(or time) and have a deficit in mining various verbal and non-verbal emotional signals of the patients. As a result, in many cases, there is an emotion recognition barrier between the clinician and the patients making all patients seem the same except for their different somatic symptoms. In particular, we aim to identify and combine three major disciplines(psychology, linguistics, and data science) approaches for detecting emotions from verbal communication and propose an integrated solution for emotion recognition support. Such a platform may give emotional guides and indices to the clinician based on verbal communication at the consultation time.

关键词： Physician-Patient relations Emotions Verbal behavior Linguistics Psychology Data science

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