Assistive Communication Robot for Pre-operative Health Care

Abstract

Health care costs and ageing population are two factors which are of major concern to western governments in the 21st century. Existing work in affective health care is primary focused on developing avatars in the tele-health space. This paper reports on the modeling of emotions (anxiety level) of patients in pre-operative stage using communication robots to assist nurses in providing personalized care and determining the sedation level of patients. The research is based on the need for better management of IT resources for social innovation as well as need to improve operational efficiency and quality of care.