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Quantitative Analysis of Facial-Expression Training Application for Medical Doctors

Authors:
Akemi Oe
Yoshitoshi Murata

Keywords: doctor-patient interaction; facial expression; nonverbal communication; facial-expression training application

Abstract:
Establishing trust between a patient and a doctor depends as much on their relationship as on the doctor’s medical abilities. One of important factors in building and maintaining a relationship is whether the doctor produces facial expressions appropriate for the patient’s condition. We developed a facial-expression training application for medical students and tested its effectiveness as a training tool. In this application, Microsoft Cognitive Services Emotion API is used to analyze the facial expression. Prior to developing this application, we studied what kind of facial expressions were appropriate in a doctor-patient greeting situation. We focused on four conditions for practicing facial expressions. Three of them are greetings given by doctors at the beginning of medical interviews of adult patients in a general ward of a hospital. The fourth is a medical scenario in which a doctor puts a stethoscope to a patient's chest, i.e., auscultation. To verify the training application’s effectiveness, the facial expressions before and after learning with the application were evaluated by potential patients. The results confirmed the application’s utility.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2019

Publication date: February 24, 2019

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-688-0

Location: Athens, Greece

Dates: from February 24, 2019 to February 28, 2019