Activities suggestion based on emotions in AAL environments.
Journal:
Artificial intelligence in medicine
PMID:
29426681
Abstract
The elderly population is increasing and the response of the society was to provide them with services directed to them to cope with their needs. One of the oldest solutions is the retirement home, providing housing and permanent assistance for the elderly. Furthermore, most of the retirement homes are inhabited by multiple elderly people, thus creating a community of people who are somewhat related in age and medical issues. The ambient assisted living (AAL) area tries to solve some of the elderly issues by producing technological products, some of them dedicated to elderly homes. One of the identified problem is that elderly people are sometimes discontent about the activities that consume most of their day promoted by the retirement home social workers. The work presented in this paper attempts to improve how these activities are scheduled taking into account the elderlies' emotional response to these activities. The aim is to maximize the group happiness by promoting the activities the group likes, minding if they are bored due to activities repetition. In this sense, this paper presents an extension of the Cognitive Life Assistant platform incorporating a social emotional model. The proposed system has been modelled as a free time activity manager which is in charge of suggesting activities to the social workers.
Authors
Keywords
Activities of Daily Living
Age Factors
Aging
Artificial Intelligence
Assisted Living Facilities
Boredom
Cognition
Delivery of Health Care, Integrated
Emotions
Equipment Design
Happiness
Health Services for the Aged
Homes for the Aged
Humans
Monitoring, Ambulatory
Quality of Life
Self-Help Devices
Social Workers