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作 者:Peyman Adibi Simindokht Kalani Sayed Jalal Zahabi Homa Asadi Mohsen Bakhtiar Mohammad Reza Heidarpour Hamidreza Roohafza Hassan Shahoon Mohammad Amouzadeh
机构地区:[1]Isfahan Gastroenterology and Hepatology Research Center,Isfahan University of Medical Sciences,Isfahan 8174673461,Iran [2]Department of Psychology,University of Isfahan,Isfahan 8174673441,Iran [3]Department of Electrical and Computer Engineering,Isfahan University of Technology,Isfahan 8415683111,Iran [4]Department of Linguistics,University of Isfahan,Isfahan 8174673441,Iran [5]Department of Linguistics,Ferdowsi University of Mashhad,Mashhad 9177948974,Iran [6]Department of Psychocardiology,Cardiac Rehabilitation Research Center,Cardiovascular Research Institute(WHO-Collaborating Center),Isfahan University of Medical Sciences,Isfahan 8187698191,Iran [7]School of International Studies,Sun Yat-sen University,Zhuhai 519082,Guangdong Province,China
出 处:《World Journal of Psychiatry》2023年第1期1-14,共14页世界精神病学杂志
摘 要: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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