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Campos W.,Interior Internado Palmira S N | Campos W.,Technological Institute of Chilpancingo | Campos W.,Autonomous University of Guerrero | Martinez A.,Interior Internado Palmira S N | And 4 more authors.
Cognitive Computation | Year: 2016

Providing solutions to current issues associated with an aging population has become a major challenge for the scientific community. In late adulthood, social isolation issues are the most frequent and the most threatening for the independent living and cognitive health of elderly adults. In this context, ambient intelligence (AmI) and social networking sites (SNSs) can promote independent living and social integration, improve their health, reduce the chances for developing cognitive decline, and ultimately prevent earlier death. The aim of this paper was to review the literature about how AmI and SNS technologies have been applied in the social integration of elderly adults. Therefore, a systematic review was conducted, which analyzed and classified computational approaches to address the issues of social isolation and social integration of elderly adults. This study revealed a wide variety of research works that are based on AmI and SNS technologies to keep older adults socially active. The paper also identifies the main technological resources and strategies to encourage social integration in this segment of the population. We concluded that this research field is still emerging and there is room for significant contributions. © 2016 Springer Science+Business Media New York

Martinez Rebollar A.,Interior Internado Palmira S n | Campos Francisco W.,Interior Internado Palmira S n | Campos Francisco W.,Autonomous University of Guerrero
Revista Mexicana de Ingenieria Biomedica | Year: 2015

Social isolation is a condition that endangers the physical and mental integrity of the elderly. To mitigate this problem, there are computational approaches that encourage socialization through social interaction activities based on elderly's communication and mobility. However, few studies provide statistical evidence about the influence of the social interaction activities with the elderly's social isolation level. Therefore, the goal of this research work is to identify social interaction activities that have statistically significant association with elderly?s social isolation level. The results indicate that the social interaction activities based phone calls through the mobile phone have an inverse correlation with social isolation level. In contrast, the social interaction activities based on the time spent inside home have a direct correlation. From the identified activities, it is possible to develop computer systems capable of providing timely warnings of social isolation in older adults. This early warnings and appropriate interventions can reduce the risk of depression, cognitive impairment or impoverishment of the social network, thus improving the quality of life of elderly.

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