Building a Client-Server Social Network Application for Elders and Safety Net

Pensas, Harri; Kivimäki, Tero; Vainio, Antti-Matti; Konakas, Stratis; Costicoglou, Socrates; Kölndorfer, Petra; Summanen, Kasperi; Moisio, Heikki; Vanhala, Jukka

doi:10.1145/2523429.2523435

Cited by 9 publications

(3 citation statements)

References 8 publications

(8 reference statements)

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“…Online education plays a fundamental role in the prevention and conscious participation of patients in the care process. In particular, some online social networks have been emphasized as a useful tool that acts as social support for the elderly, capable of shielding, in some circumstances, from psychological stress and encouraging participation and engagement [4][5][6][7][8][9]. Some of these platforms, such as PatientsLikeMe (http://www.patientslikeme.com), CureTogether (http://www.curetogether.com), or MedHelp (http://www.medhelp.org), have provided users self-management of personal activities for their own diseases.…”

Section: Related Workmentioning

confidence: 99%

Online Social Space Identification. A Computational Tool for Optimizing Social Recommendations

et al. 2020

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Conscious and functional use of online social spaces can support the elderly with mind cognitive impairment (MCI) in their daily routine, not only for systematic monitoring, but to achieve effective targeted engagement. In this sense, although social involvement can be obtained when elder’s experiences, interests, and goals are shared and accepted by the community, an important subsistence for aging depends on the compelling information, users’ co-operation, and resource reliability. Unfortunately, applications aimed at optimizing the information content and the reliability of online users are still missing. Within the SystEm of Nudge theory-based ICT applications for OldeR citizens (SENIOR) project, an advanced social platform will be created in which the elderly with MCI will be involved in “optimized” social communities, where suggestions for general well-being will be recognized as useful by users and shared by care providers. We report the results of our study addressing this issue from a theoretical perspective: we propose a computational problem and a heuristic solution where “expert users” can engage and support the elderly by suggesting available services and facilities for their conditions. The numerical experiments on synthetic data are of interest when considering large communities, which is the most natural situation for online social spaces.

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Section: Related Workmentioning

confidence: 99%

Online Social Space Identification. A Computational Tool for Optimizing Social Recommendations

et al. 2020

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“…To help improve elderly people quality of life and health, [10] develops a platform called AMCOSOP. The platform allows its users to maintain connections with their friends, relative, etc.…”

Section: This Section Described the Related Work In This Areamentioning

confidence: 99%

Toward an Active Aging Society: An IT Model to Engage the Aging Population

Hoang

2019

2019 International Conference on Information Networking (ICOIN)

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Many countries around the world are expecting a growing number of elderly people as the society is aging over time. This shift is expected to create a large impact on our health and social security system. The cost of having an increasing proportion of elderly people is emerging as a challenge for governments, so much that our government is encouraging people to stay in the workforce longer. As a result, the aging population requires a solution that allows them to remain productive and keeping them mentally healthy. Existing solutions rely on the benefits of social networks or service networks to keep them active and improve mental health. However, these solutions fail to allow elderly people to act as a value contributor for the society. This paper proposes the design of a new model that allows elderly people to actively and collaboratively provide value to the society through an assistive platform that integrates a service network with a social network. This model combines the advantages of the social network to connect them and utilize the advantages of the service network to create opportunities for elderly people to offer their skills and knowledge to exchange benefits with other users. The proposed model can be used as a mean to engage seniors to the community, allowing them to generate value for themselves and the community while staying mentally healthy.

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“…Keep-in-Touch (KIT) [108] accumulates and distributes important health data within health facilities. FoSIBLE [109] is community software, and relevant devices can interface to test sensors for elder social interaction. Finally, V2me [110] is a socially interactive virtual elder network.…”

Section: General Health Monitoringmentioning

confidence: 99%

A Review and Classification of Assisted Living Systems

2018

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Europe's social agenda for the "active elderly" is based upon a series of programs that provide a flexible infrastructure for their lives so that they are motivated, engaged in lifelong learning, and contributing to society. Economically speaking, Europe must engage in active aging research in order to avoid unsustainable health costs, and ambient assisted living (AAL) systems provide a platform for the elderly to remain living independently. This paper reviews research conducted within the area of AAL, and offers a taxonomy within which such systems may be classified. This classification distinguishes itself from others in that it categorises AAL systems in a top-down fashion, with the most important categories placed immediately to the left. In this paper, each section is explored further, and AAL systems are the focus. Entire AAL systems still cannot be fully evaluated, but their constituent technical parts can be assessed. The activities of daily living (ADLs) component was given further priority due to its potential for system evaluation, based on its ability to recognise ADLs with reasonable accuracy.Information 2018, 9, 182 2 of 24 ensure that future system features include the minimum requirements necessary for AAL research and commercial usage, thus ensuring that the elderly and their families have systems capable of meeting their current and future ADL needs. Previous reviews have taken different approaches, yet all failed to provide a framework within which all AAL systems could be classified according to their primary function [5,6]. Some applied specific guidelines to predominantly single-use systems, compared platform performance, or personalised healthcare systems. The evolution of AAL technology [7] has taken us through three generations, from wearable devices that respond to an emergency, to automatic response home sensors, to a third generation combining less-intrusive monitoring with preventive functionalities. Another review approach of surveying ambient environment services [8] under event-, context-, or device-aware services was categorised in terms of a service-oriented, user-centered, and event-aware monitoring service. This review technique compared various ambient services of response time, success rate, low/high-level failures, power consumption, and service reliability/adaption, yet offered no classification. A comprehensive literature review [9] on platforms and systems [10] provided no taxonomy for researchers, and excluded ambient intelligence (AmI) research that is pivotal within robotics and wearable computing. A recent review paper [11] described AAL as the culmination of the following five technologies: sensors, context awareness, machine learning, and artificial intelligence, announcing the importance of device interoperability, yet offering no template for achieving this goal. AALIANCE [12] proffered a roadmap for AAL system standardisation and a possible future evolutionary structure for systems, yet this aspirational template lacks the necessary structure to accommodate curr...

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Building a Client-Server Social Network Application for Elders and Safety Net

Cited by 9 publications

References 8 publications

Online Social Space Identification. A Computational Tool for Optimizing Social Recommendations

Online Social Space Identification. A Computational Tool for Optimizing Social Recommendations

Toward an Active Aging Society: An IT Model to Engage the Aging Population

A Review and Classification of Assisted Living Systems

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